Multi-objective optimization for stochastic computer networks using NSGA-II and TOPSIS
► Find the optimal network line assignment with maximal network reliability and minimal total cost. ► Evaluate network reliability in terms of MPs and RSDP. ► An approach based on NSGA-II and TOPSIS is proposed to solve the multi-objective problem. ► Focus on practical computer networks to implement...
Uloženo v:
| Vydáno v: | European journal of operational research Ročník 218; číslo 3; s. 735 - 746 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam
Elsevier B.V
01.05.2012
Elsevier Elsevier Sequoia S.A |
| Témata: | |
| ISSN: | 0377-2217, 1872-6860 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | ► Find the optimal network line assignment with maximal network reliability and minimal total cost. ► Evaluate network reliability in terms of MPs and RSDP. ► An approach based on NSGA-II and TOPSIS is proposed to solve the multi-objective problem. ► Focus on practical computer networks to implement the transmission line assignment.
Network reliability is a performance indicator of computer/communication networks to measure the quality level. However, it is costly to improve or maximize network reliability. This study attempts to maximize network reliability with minimal cost by finding the optimal transmission line assignment. These two conflicting objectives frustrate decision makers. In this study, a set of transmission lines is ready to be assigned to the computer network, and the computer network associated with any transmission line assignment is regarded as a stochastic computer network (SCN) because of the multistate transmission lines. Therefore, network reliability means the probability to transmit a specified amount of data successfully through the SCN. To solve this multiple objectives programming problem, this study proposes an approach integrating Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). NSGA-II searches for the Pareto set where network reliability is evaluated in terms of minimal paths and Recursive Sum of Disjoint Products (RSDP). Subsequently, TOPSIS determines the best compromise solution. Several real computer networks serve to demonstrate the proposed approach. |
|---|---|
| AbstractList | Network reliability is a performance indicator of computer/communication networks to measure the quality level. However, it is costly to improve or maximize network reliability. This study attempts to maximize network reliability with minimal cost by finding the optimal transmission line assignment. These two conflicting objectives frustrate decision makers. In this study, a set of transmission lines is ready to be assigned to the computer network, and the computer network associated with any transmission line assignment is regarded as a stochastic computer network (SCN) because of the multistate transmission lines. Therefore, network reliability means the probability to transmit a specified amount of data successfully through the SCN. To solve this multiple objectives programming problem, this study proposes an approach integrating Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). NSGA-II searches for the Pareto set where network reliability is evaluated in terms of minimal paths and Recursive Sum of Disjoint Products (RSDP). Subsequently, TOPSIS determines the best compromise solution. Several real computer networks serve to demonstrate the proposed approach. ► Find the optimal network line assignment with maximal network reliability and minimal total cost. ► Evaluate network reliability in terms of MPs and RSDP. ► An approach based on NSGA-II and TOPSIS is proposed to solve the multi-objective problem. ► Focus on practical computer networks to implement the transmission line assignment. Network reliability is a performance indicator of computer/communication networks to measure the quality level. However, it is costly to improve or maximize network reliability. This study attempts to maximize network reliability with minimal cost by finding the optimal transmission line assignment. These two conflicting objectives frustrate decision makers. In this study, a set of transmission lines is ready to be assigned to the computer network, and the computer network associated with any transmission line assignment is regarded as a stochastic computer network (SCN) because of the multistate transmission lines. Therefore, network reliability means the probability to transmit a specified amount of data successfully through the SCN. To solve this multiple objectives programming problem, this study proposes an approach integrating Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). NSGA-II searches for the Pareto set where network reliability is evaluated in terms of minimal paths and Recursive Sum of Disjoint Products (RSDP). Subsequently, TOPSIS determines the best compromise solution. Several real computer networks serve to demonstrate the proposed approach. Network reliability is a performance indicator of computer/communication networks to measure the quality level. However, it is costly to improve or maximize network reliability. This study attempts to maximize network reliability with minimal cost by finding the optimal transmission line assignment. These two conflicting objectives frustrate decision makers. In this study, a set of transmission lines is ready to be assigned to the computer network, and the computer network associated with any transmission line assignment is regarded as a stochastic computer network (SCN) because of the multistate transmission lines. Therefore, network reliability means the probability to transmit a specified amount of data successfully through the SCN. To solve this multiple objectives programming problem, this study proposes an approach integrating Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). NSGA-II searches for the Pareto set where network reliability is evaluated in terms of minimal paths and Recursive Sum of Disjoint Products (RSDP). Subsequently, TOPSIS determines the best compromise solution. Several real computer networks serve to demonstrate the proposed approach. [PUBLICATION ABSTRACT] |
| Author | Lin, Yi-Kuei Yeh, Cheng-Ta |
| Author_xml | – sequence: 1 givenname: Yi-Kuei surname: Lin fullname: Lin, Yi-Kuei email: yklin@mail.ntust.edu.tw – sequence: 2 givenname: Cheng-Ta surname: Yeh fullname: Yeh, Cheng-Ta |
| BackLink | http://www.econis.eu/PPNSET?PPN=688188206$$DView this record in ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25899837$$DView record in Pascal Francis |
| BookMark | eNp9kV9rFDEUxYNUcNv6BXxpEARfZptkdvIHfClF60JtC1t9DZk7Gc04m2yTTKX99GbdLUgfChfuy-_cezjnEB344C1C7yiZU0L56TC3Q4hzRiidlyFMvkIzKgWruOTkAM1ILUTFGBVv0GFKAyGENrSZoR_fpjG7KrSDhezuLQ6b7Nbu0WQXPO5DxCkH-GVSdoAhrDdTthF7m_-E-DvhKTn_E1-tLs6q5RIb3-Hb65vVcnWMXvdmTPbtfh-h718-355_rS6vL5bnZ5cVLBZNrhqu2pb1tYWWGq6MahgXjIIRomWytaQ1i5qpRdMLRjoumx4IQM9lSzvFZFcfoY-7u5sY7iabsl67BHYcjbdhSrqEQ6RigvKCvn-GDmGKvrjTigpFOZG0QB_2kElgxj4aDy7pTXRrEx80a6RSshaFO9lxFoL_D-BSUikZ2b6TOwJiSCnaXoPL_1LN0bixONua43rQ2-b0tjldpjRXpOyZ9On8i6JPe0cl7ntno07grAfbuViq1V1wL8n_Au92si8 |
| CODEN | EJORDT |
| CitedBy_id | crossref_primary_10_1016_j_petrol_2018_05_037 crossref_primary_10_1109_ACCESS_2017_2755043 crossref_primary_10_1016_j_chaos_2018_09_008 crossref_primary_10_1080_0305215X_2017_1324853 crossref_primary_10_1007_s11771_013_1685_6 crossref_primary_10_1155_2015_260205 crossref_primary_10_1016_j_jwpe_2024_106212 crossref_primary_10_3846_tede_2022_17850 crossref_primary_10_3390_math8112072 crossref_primary_10_1007_s10462_023_10526_z crossref_primary_10_1016_j_ejor_2014_01_029 crossref_primary_10_1016_j_ijpe_2020_107774 crossref_primary_10_1080_0305215X_2022_2058498 crossref_primary_10_1007_s40430_019_2019_x crossref_primary_10_3390_en13226032 crossref_primary_10_1016_j_apm_2019_04_043 crossref_primary_10_1177_0954405413498728 crossref_primary_10_1080_03610918_2014_988252 crossref_primary_10_1016_j_ijlmm_2024_11_003 crossref_primary_10_1007_s00170_019_04134_x crossref_primary_10_4018_IJSSMET_347947 crossref_primary_10_1007_s11518_014_5261_x crossref_primary_10_1016_j_optlastec_2024_112411 crossref_primary_10_1016_j_eswa_2019_112952 crossref_primary_10_1016_j_ress_2018_04_011 crossref_primary_10_1016_j_ejor_2025_03_022 crossref_primary_10_1016_j_eswa_2023_121005 crossref_primary_10_1016_j_ress_2023_109378 crossref_primary_10_1080_1331677X_2015_1075139 crossref_primary_10_1007_s10479_023_05813_5 crossref_primary_10_1016_j_adhoc_2020_102407 crossref_primary_10_1016_j_apm_2017_08_016 crossref_primary_10_1016_j_asoc_2020_106850 crossref_primary_10_1016_j_jmsy_2016_10_003 crossref_primary_10_1016_j_ress_2022_108382 crossref_primary_10_3390_s21041194 crossref_primary_10_1016_j_flowmeasinst_2020_101787 crossref_primary_10_3390_su11030929 crossref_primary_10_3233_JIFS_191828 crossref_primary_10_1155_2012_928620 crossref_primary_10_1002_etep_2610 crossref_primary_10_1109_ACCESS_2019_2914697 crossref_primary_10_1109_TR_2017_2713704 crossref_primary_10_1080_0740817X_2013_876130 crossref_primary_10_1016_j_istruc_2025_109507 crossref_primary_10_1080_15376494_2025_2505964 crossref_primary_10_1063_1_4807788 crossref_primary_10_1016_j_ress_2019_106578 crossref_primary_10_1007_s00170_013_4868_2 crossref_primary_10_1109_ACCESS_2021_3070634 crossref_primary_10_1016_j_ejor_2016_12_023 crossref_primary_10_1109_JSYST_2019_2912409 crossref_primary_10_1016_j_ress_2017_11_005 crossref_primary_10_1016_j_seppur_2022_121685 crossref_primary_10_1016_j_cor_2016_03_009 crossref_primary_10_1016_j_cie_2021_107752 crossref_primary_10_1016_j_matdes_2012_07_025 crossref_primary_10_1109_ACCESS_2019_2924923 crossref_primary_10_1016_j_eswa_2020_113753 crossref_primary_10_1080_23270012_2020_1747030 crossref_primary_10_1007_s10479_023_05522_z crossref_primary_10_3389_fsufs_2025_1549463 crossref_primary_10_1371_journal_pone_0326455 crossref_primary_10_1016_j_apenergy_2015_09_008 crossref_primary_10_1016_j_cie_2020_106977 crossref_primary_10_1016_j_jmsy_2019_05_004 crossref_primary_10_1007_s00170_015_8069_z |
| Cites_doi | 10.1080/00207541003792250 10.1109/JSAC.2009.090211 10.1016/j.ins.2010.09.036 10.1016/j.ress.2004.05.002 10.1016/j.ress.2008.10.006 10.1016/j.ejor.2005.07.015 10.1016/j.ejor.2008.12.006 10.1109/24.9866 10.1016/0305-0548(84)90002-9 10.1016/j.ress.2009.05.002 10.1109/MCI.2011.942582 10.1016/j.cor.2010.03.013 10.1109/PACRIM.2003.1235886 10.1016/j.asoc.2008.04.002 10.1287/opre.2.2.172 10.1109/TR.2010.2055920 10.1016/j.ejor.2004.08.038 10.1007/s00500-008-0292-1 10.1016/0360-8352(94)00218-C 10.1016/j.ress.2005.11.018 10.1016/S0305-0548(96)00049-4 10.1109/4235.996017 10.1016/j.ijepes.2010.08.017 10.1016/j.eswa.2010.11.022 10.1615/JAutomatInfScien.v35.i5.60 10.1002/net.3230250306 10.1111/j.1540-5915.1987.tb01515.x 10.1287/mnsc.32.9.1095 10.1002/qre.388 10.1007/s11081-010-9115-1 10.1007/s10479-008-0493-0 |
| ContentType | Journal Article |
| Copyright | 2011 Elsevier B.V. 2015 INIST-CNRS Copyright Elsevier Sequoia S.A. May 1, 2012 |
| Copyright_xml | – notice: 2011 Elsevier B.V. – notice: 2015 INIST-CNRS – notice: Copyright Elsevier Sequoia S.A. May 1, 2012 |
| DBID | AAYXX CITATION OQ6 IQODW 7SC 7TB 8FD FR3 JQ2 L7M L~C L~D 7TA JG9 |
| DOI | 10.1016/j.ejor.2011.11.028 |
| DatabaseName | CrossRef ECONIS Pascal-Francis Computer and Information Systems Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database Engineering Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Materials Business File Materials Research Database |
| DatabaseTitle | CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Engineering Research Database Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional Materials Research Database Materials Business File |
| DatabaseTitleList | Materials Research Database Technology Research Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Computer Science Business Applied Sciences |
| EISSN | 1872-6860 |
| EndPage | 746 |
| ExternalDocumentID | 2570802101 25899837 688188206 10_1016_j_ejor_2011_11_028 S037722171101037X |
| Genre | Feature |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 1B1 1OL 1RT 1~. 1~5 29G 4.4 41~ 457 4G. 5GY 5VS 6OB 7-5 71M 8P~ 9JN 9JO AAAKF AAAKG AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARIN AAXUO AAYFN AAYOK ABAOU ABBOA ABFNM ABFRF ABJNI ABMAC ABUCO ABXDB ABYKQ ACAZW ACDAQ ACGFO ACGFS ACIWK ACNCT ACNNM ACRLP ACZNC ADBBV ADEZE ADGUI ADIYS ADJOM ADMUD AEBSH AEFWE AEKER AENEX AFFNX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHZHX AI. AIALX AIEXJ AIGVJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD APLSM ARUGR ASPBG AVWKF AXJTR AZFZN BKOJK BKOMP BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HAMUX HVGLF HZ~ IHE J1W KOM LY1 M41 MHUIS MO0 MS~ N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. PQQKQ Q38 R2- RIG ROL RPZ RXW SCC SDF SDG SDP SDS SES SEW SPC SPCBC SSB SSD SSV SSW SSZ T5K TAE TN5 U5U VH1 WUQ XPP ZMT ~02 ~G- 9DU AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO ADXHL AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD OQ6 AFXIZ AGCQF AGRNS BNPGV IQODW SSH 7SC 7TB 8FD FR3 JQ2 L7M L~C L~D 7TA JG9 |
| ID | FETCH-LOGICAL-c445t-569bb2f3ecb1a69a9526721ca77b28be0ba432945f720d685fc0ccf68b1d928d3 |
| ISICitedReferencesCount | 86 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000300485000015&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0377-2217 |
| IngestDate | Thu Oct 02 06:33:37 EDT 2025 Sun Nov 09 06:45:34 EST 2025 Mon Jul 21 09:12:44 EDT 2025 Sat Mar 08 16:55:45 EST 2025 Sat Nov 29 08:06:14 EST 2025 Tue Nov 18 22:11:24 EST 2025 Fri Feb 23 02:32:26 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Keywords | Non-dominated sorting genetic algorithm II Reliability Stochastic computer network Multiple objective programming Technique for order preference by similarity to ideal solution Performance evaluation Cost minimization Multicriteria analysis Multiobjective programming Transmission line Disjoint product Computer network Minimal path Probabilistic approach Pareto optimum Decision making Similarity solution Distributed system Communication network Stochastic programming Network reliability Genetic algorithm Preference Quality control Telecommunication network Complex network Recursive method |
| Language | English |
| License | https://www.elsevier.com/tdm/userlicense/1.0 CC BY 4.0 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c445t-569bb2f3ecb1a69a9526721ca77b28be0ba432945f720d685fc0ccf68b1d928d3 |
| Notes | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 |
| PQID | 917916081 |
| PQPubID | 45678 |
| PageCount | 12 |
| ParticipantIDs | proquest_miscellaneous_1010892716 proquest_journals_917916081 pascalfrancis_primary_25899837 econis_primary_688188206 crossref_citationtrail_10_1016_j_ejor_2011_11_028 crossref_primary_10_1016_j_ejor_2011_11_028 elsevier_sciencedirect_doi_10_1016_j_ejor_2011_11_028 |
| PublicationCentury | 2000 |
| PublicationDate | 2012-05-01 |
| PublicationDateYYYYMMDD | 2012-05-01 |
| PublicationDate_xml | – month: 05 year: 2012 text: 2012-05-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Amsterdam |
| PublicationPlace_xml | – name: Amsterdam |
| PublicationTitle | European journal of operational research |
| PublicationYear | 2012 |
| Publisher | Elsevier B.V Elsevier Elsevier Sequoia S.A |
| Publisher_xml | – name: Elsevier B.V – name: Elsevier – name: Elsevier Sequoia S.A |
| References | Gordejuela-Sánchez, Jüttner, Zhang (b0075) 2009; 27 Lin, Yeh (b0140) 2010; 59 Abd-El-Barr, M., Zakir, A., Sait, S.M., Almulhem, A., 2003. Reliability and fault tolerance based topological optimization of computer networks – Part II: Iterative techniques. In: IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing, pp. 736–739. Voronin, Mosorin, Tkachenko, Shvorov (b0175) 2003; 35 Lin (b0190) 2010; 200 Lin, Jane, Yuan (b0130) 1995; 25 Ramirez-Marquez, Coit (b0155) 2005; 87 Deb, Pratap, Agarwal, Meyarivan (b0050) 2002; 6 Damas, Cordon, Santamaria (b0045) 2011; 6 Kumar, Pathak, Gupta, Parsaei (b0110) 1995; 28 Farmer (b0055) 1987; 18 Ramirez-Marquez, Rocco, Levitin (b0165) 2009; 94 Fisher, Jaikumar, Van Wassenhove (b0060) 1986; 32 Khan, Engelbrecht (b0095) 2009; 13 Ford, Fulkerson (b0065) 1962 Jeyadevi, Baskar, Babulal, Willjuice (b0090) 2011; 33 Imam (b0085) 2009; 3 Cheong, Tan, Liu, Lin (b0025) 2010; 180 Kiu, McAllister (b0100) 1988; 37 Lin, Yeh (b0135) 2010; 37 Chang, Chen (b0015) 2009; 9 Konak, Coit, Smith (b0105) 2006; 91 Ramirez-Marquez, Rocco (b0160) 2009; 94 Gen, Cheng, Lin (b0070) 2008 Chiang, Cheng, Fu (b0030) 2011; 38 Levitin, Lisnianski (b0120) 2001; 17 Churchman, Ackoff (b0035) 1954; 2 Cheng, Ye (b0020) 2011; 49 Murphy, Ignizio (b0150) 1984; 11 Colbourn (b0040) 1987 Lin, Yeh (b0145) 2011; 181 Amiri, Pirkul (b0010) 1997; 24 Lin (b0185) 2007; 176 Tan, Goh, Yang, Lee (b0170) 2006; 171 Le Besnerais, Fasquelle, Lanfranchi, Hecquet, Brochet (b0115) 2011; 12 Hwang, Yoon (b0080) 1981 Ramirez-Marquez (10.1016/j.ejor.2011.11.028_b0155) 2005; 87 Ford (10.1016/j.ejor.2011.11.028_b0065) 1962 Fisher (10.1016/j.ejor.2011.11.028_b0060) 1986; 32 Le Besnerais (10.1016/j.ejor.2011.11.028_b0115) 2011; 12 Lin (10.1016/j.ejor.2011.11.028_b0145) 2011; 181 Lin (10.1016/j.ejor.2011.11.028_b0140) 2010; 59 Murphy (10.1016/j.ejor.2011.11.028_b0150) 1984; 11 Ramirez-Marquez (10.1016/j.ejor.2011.11.028_b0160) 2009; 94 Lin (10.1016/j.ejor.2011.11.028_b0185) 2007; 176 Churchman (10.1016/j.ejor.2011.11.028_b0035) 1954; 2 10.1016/j.ejor.2011.11.028_b0005 Gen (10.1016/j.ejor.2011.11.028_b0070) 2008 Amiri (10.1016/j.ejor.2011.11.028_b0010) 1997; 24 Farmer (10.1016/j.ejor.2011.11.028_b0055) 1987; 18 Kumar (10.1016/j.ejor.2011.11.028_b0110) 1995; 28 Konak (10.1016/j.ejor.2011.11.028_b0105) 2006; 91 Gordejuela-Sánchez (10.1016/j.ejor.2011.11.028_b0075) 2009; 27 Levitin (10.1016/j.ejor.2011.11.028_b0120) 2001; 17 Jeyadevi (10.1016/j.ejor.2011.11.028_b0090) 2011; 33 Lin (10.1016/j.ejor.2011.11.028_b0130) 1995; 25 Damas (10.1016/j.ejor.2011.11.028_b0045) 2011; 6 Kiu (10.1016/j.ejor.2011.11.028_b0100) 1988; 37 Cheng (10.1016/j.ejor.2011.11.028_b0020) 2011; 49 Lin (10.1016/j.ejor.2011.11.028_b0135) 2010; 37 Ramirez-Marquez (10.1016/j.ejor.2011.11.028_b0165) 2009; 94 Tan (10.1016/j.ejor.2011.11.028_b0170) 2006; 171 Chang (10.1016/j.ejor.2011.11.028_b0015) 2009; 9 Voronin (10.1016/j.ejor.2011.11.028_b0175) 2003; 35 Colbourn (10.1016/j.ejor.2011.11.028_b0040) 1987 Chiang (10.1016/j.ejor.2011.11.028_b0030) 2011; 38 Cheong (10.1016/j.ejor.2011.11.028_b0025) 2010; 180 Deb (10.1016/j.ejor.2011.11.028_b0050) 2002; 6 Hwang (10.1016/j.ejor.2011.11.028_b0080) 1981 Lin (10.1016/j.ejor.2011.11.028_b0190) 2010; 200 Khan (10.1016/j.ejor.2011.11.028_b0095) 2009; 13 Imam (10.1016/j.ejor.2011.11.028_b0085) 2009; 3 |
| References_xml | – year: 2008 ident: b0070 article-title: Network Models and Optimization: Multiobjective Genetic Algorithms – volume: 3 start-page: 127 year: 2009 end-page: 136 ident: b0085 article-title: Optimizing design of computer networks using multi-objectives linear programming and artificial intelligence techniques publication-title: Advances in Natural and Applied Sciences – reference: Abd-El-Barr, M., Zakir, A., Sait, S.M., Almulhem, A., 2003. Reliability and fault tolerance based topological optimization of computer networks – Part II: Iterative techniques. In: IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing, pp. 736–739. – volume: 171 start-page: 463 year: 2006 end-page: 495 ident: b0170 article-title: Evolving better population distribution and exploration in evolutionary multi-objective optimization publication-title: European Journal of Operational Research – volume: 32 start-page: 1095 year: 1986 end-page: 1103 ident: b0060 article-title: A multiplier adjustment method for the generalised assignment problem publication-title: Management Science – volume: 49 start-page: 2759 year: 2011 end-page: 2769 ident: b0020 article-title: A two objective optimisation model for order splitting among parallel suppliers publication-title: International Journal of Production Research – volume: 2 start-page: 172 year: 1954 end-page: 187 ident: b0035 article-title: An approximate measure of value publication-title: Journal of the Operations Research Society of America – volume: 94 start-page: 1676 year: 2009 end-page: 1684 ident: b0165 article-title: Optimal protection of general source–sink networks via evolutionary techniques publication-title: Reliability Engineering and System Safety – volume: 35 start-page: 59 year: 2003 end-page: 71 ident: b0175 article-title: Application of a nonlinear trade-off scheme in the problem of structure synthesis of the data transfer systems publication-title: Journal of Automation and Information Sciences – year: 1987 ident: b0040 article-title: The Combinatorics of Network Reliability – volume: 25 start-page: 131 year: 1995 end-page: 138 ident: b0130 article-title: On reliability evaluation of a capacitated-flow network in terms of minimal pathsets publication-title: Network – volume: 37 start-page: 475 year: 1988 end-page: 483 ident: b0100 article-title: Reliability optimization of computer-communication networks publication-title: IEEE Transactions on Reliability – volume: 17 start-page: 93 year: 2001 end-page: 104 ident: b0120 article-title: A new approach to solving problems of multi-state system reliability optimization publication-title: Quality and Reliability Engineering International – volume: 94 start-page: 913 year: 2009 end-page: 921 ident: b0160 article-title: Stochastic network interdiction optimization via capacitated network reliability modeling and probabilistic solution discovery publication-title: Reliability Engineering and System Safety – volume: 6 start-page: 26 year: 2011 end-page: 42 ident: b0045 article-title: Medical Image Registration Using Evolutionary Computation: An Experimental Survey publication-title: IEEE Computational Intelligence Magazine – volume: 6 start-page: 182 year: 2002 end-page: 197 ident: b0050 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Transactions on Evolutionary Computation – volume: 27 start-page: 202 year: 2009 end-page: 216 ident: b0075 article-title: A multiobjective optimization framework for IEEE 802.16e network design and performance analysis publication-title: IEEE Journal on Selected Areas in Communications – volume: 9 start-page: 173 year: 2009 end-page: 181 ident: b0015 article-title: The development of a sub-population genetic algorithm II (SPGA II) for multi-objective combinatorial problems publication-title: Applied Soft Computing – volume: 176 start-page: 336 year: 2007 end-page: 347 ident: b0185 article-title: On a multicommodity stochastic-flow network with unreliable nodes subject to budget constraint publication-title: European Journal of Operational Research – year: 1981 ident: b0080 article-title: Multiple Attribute Decision Making – Methods and Applications – volume: 200 start-page: 160 year: 2010 end-page: 169 ident: b0190 article-title: Calculation of minimal capacity vectors through k minimal paths under budget and time constraints publication-title: European Journal of Operational Research – volume: 24 start-page: 275 year: 1997 end-page: 287 ident: b0010 article-title: Routing and capacity assignment in backbone communication networks publication-title: Computers and Operations Research – volume: 91 start-page: 992 year: 2006 end-page: 1007 ident: b0105 article-title: Multi-objective optimization using genetic algorithms: A tutorial publication-title: Reliability Engineering and System Safety – volume: 59 start-page: 539 year: 2010 end-page: 550 ident: b0140 article-title: Evaluation of optimal network reliability under components-assignments subject to transmission budget publication-title: IEEE Transactions on Reliability – volume: 181 start-page: 582 year: 2011 end-page: 599 ident: b0145 article-title: Computer network reliability optimization under double-resource assignments subject to a transmission budget publication-title: Information Sciences – volume: 38 start-page: 5986 year: 2011 end-page: 5999 ident: b0030 article-title: NNMA: An effective memetic algorithm for solving multiobjective permutation flow shop scheduling problems publication-title: Expert Systems with Applications – volume: 18 start-page: 178 year: 1987 end-page: 193 ident: b0055 article-title: Testing the robustness of multiattribute utility theory in an applied setting publication-title: Decision Sciences – volume: 13 start-page: 45 year: 2009 end-page: 61 ident: b0095 article-title: Fuzzy hybrid simulated annealing algorithms for topology design of switched local area networks publication-title: Soft Computing – volume: 12 start-page: 55 year: 2011 end-page: 72 ident: b0115 article-title: Mixed-variable optimal design of induction motors including efficiency, noise and thermal criteria publication-title: Optimization and Engineering – volume: 37 start-page: 2229 year: 2010 end-page: 2238 ident: b0135 article-title: Optimal resource assignment to maximize multistate network reliability for a computer network publication-title: Computers and Operations Research – volume: 11 start-page: 1 year: 1984 end-page: 11 ident: b0150 article-title: A methodology for multicriteria network partitioning publication-title: Computers and Operations Research – volume: 180 start-page: 63 year: 2010 end-page: 103 ident: b0025 article-title: Multi-objective and prioritized berth allocation in container ports publication-title: Annals of Operations Research – year: 1962 ident: b0065 article-title: Flows in Networks – volume: 33 start-page: 219 year: 2011 end-page: 228 ident: b0090 article-title: Solving multi-objective optimal reactive power dispatch using modified NSGA-II publication-title: International Journal of Electrical Power and Energy Systems – volume: 87 start-page: 253 year: 2005 end-page: 264 ident: b0155 article-title: A Monte-Carlo simulation approach for approximating multi-state two-terminal reliability publication-title: Reliability Engineering and System Safety – volume: 28 start-page: 659 year: 1995 end-page: 670 ident: b0110 article-title: A genetic algorithm for distributed system topology design publication-title: Computers and Industrial Engineering – year: 1987 ident: 10.1016/j.ejor.2011.11.028_b0040 – volume: 49 start-page: 2759 year: 2011 ident: 10.1016/j.ejor.2011.11.028_b0020 article-title: A two objective optimisation model for order splitting among parallel suppliers publication-title: International Journal of Production Research doi: 10.1080/00207541003792250 – volume: 27 start-page: 202 year: 2009 ident: 10.1016/j.ejor.2011.11.028_b0075 article-title: A multiobjective optimization framework for IEEE 802.16e network design and performance analysis publication-title: IEEE Journal on Selected Areas in Communications doi: 10.1109/JSAC.2009.090211 – volume: 181 start-page: 582 year: 2011 ident: 10.1016/j.ejor.2011.11.028_b0145 article-title: Computer network reliability optimization under double-resource assignments subject to a transmission budget publication-title: Information Sciences doi: 10.1016/j.ins.2010.09.036 – volume: 87 start-page: 253 year: 2005 ident: 10.1016/j.ejor.2011.11.028_b0155 article-title: A Monte-Carlo simulation approach for approximating multi-state two-terminal reliability publication-title: Reliability Engineering and System Safety doi: 10.1016/j.ress.2004.05.002 – volume: 94 start-page: 913 year: 2009 ident: 10.1016/j.ejor.2011.11.028_b0160 article-title: Stochastic network interdiction optimization via capacitated network reliability modeling and probabilistic solution discovery publication-title: Reliability Engineering and System Safety doi: 10.1016/j.ress.2008.10.006 – volume: 176 start-page: 336 year: 2007 ident: 10.1016/j.ejor.2011.11.028_b0185 article-title: On a multicommodity stochastic-flow network with unreliable nodes subject to budget constraint publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2005.07.015 – volume: 200 start-page: 160 year: 2010 ident: 10.1016/j.ejor.2011.11.028_b0190 article-title: Calculation of minimal capacity vectors through k minimal paths under budget and time constraints publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2008.12.006 – volume: 37 start-page: 475 year: 1988 ident: 10.1016/j.ejor.2011.11.028_b0100 article-title: Reliability optimization of computer-communication networks publication-title: IEEE Transactions on Reliability doi: 10.1109/24.9866 – volume: 11 start-page: 1 year: 1984 ident: 10.1016/j.ejor.2011.11.028_b0150 article-title: A methodology for multicriteria network partitioning publication-title: Computers and Operations Research doi: 10.1016/0305-0548(84)90002-9 – volume: 94 start-page: 1676 year: 2009 ident: 10.1016/j.ejor.2011.11.028_b0165 article-title: Optimal protection of general source–sink networks via evolutionary techniques publication-title: Reliability Engineering and System Safety doi: 10.1016/j.ress.2009.05.002 – volume: 6 start-page: 26 year: 2011 ident: 10.1016/j.ejor.2011.11.028_b0045 article-title: Medical Image Registration Using Evolutionary Computation: An Experimental Survey publication-title: IEEE Computational Intelligence Magazine doi: 10.1109/MCI.2011.942582 – volume: 37 start-page: 2229 year: 2010 ident: 10.1016/j.ejor.2011.11.028_b0135 article-title: Optimal resource assignment to maximize multistate network reliability for a computer network publication-title: Computers and Operations Research doi: 10.1016/j.cor.2010.03.013 – ident: 10.1016/j.ejor.2011.11.028_b0005 doi: 10.1109/PACRIM.2003.1235886 – volume: 9 start-page: 173 year: 2009 ident: 10.1016/j.ejor.2011.11.028_b0015 article-title: The development of a sub-population genetic algorithm II (SPGA II) for multi-objective combinatorial problems publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2008.04.002 – volume: 2 start-page: 172 year: 1954 ident: 10.1016/j.ejor.2011.11.028_b0035 article-title: An approximate measure of value publication-title: Journal of the Operations Research Society of America doi: 10.1287/opre.2.2.172 – year: 1962 ident: 10.1016/j.ejor.2011.11.028_b0065 – volume: 59 start-page: 539 year: 2010 ident: 10.1016/j.ejor.2011.11.028_b0140 article-title: Evaluation of optimal network reliability under components-assignments subject to transmission budget publication-title: IEEE Transactions on Reliability doi: 10.1109/TR.2010.2055920 – volume: 171 start-page: 463 year: 2006 ident: 10.1016/j.ejor.2011.11.028_b0170 article-title: Evolving better population distribution and exploration in evolutionary multi-objective optimization publication-title: European Journal of Operational Research doi: 10.1016/j.ejor.2004.08.038 – volume: 13 start-page: 45 year: 2009 ident: 10.1016/j.ejor.2011.11.028_b0095 article-title: Fuzzy hybrid simulated annealing algorithms for topology design of switched local area networks publication-title: Soft Computing doi: 10.1007/s00500-008-0292-1 – volume: 28 start-page: 659 year: 1995 ident: 10.1016/j.ejor.2011.11.028_b0110 article-title: A genetic algorithm for distributed system topology design publication-title: Computers and Industrial Engineering doi: 10.1016/0360-8352(94)00218-C – volume: 91 start-page: 992 year: 2006 ident: 10.1016/j.ejor.2011.11.028_b0105 article-title: Multi-objective optimization using genetic algorithms: A tutorial publication-title: Reliability Engineering and System Safety doi: 10.1016/j.ress.2005.11.018 – volume: 24 start-page: 275 year: 1997 ident: 10.1016/j.ejor.2011.11.028_b0010 article-title: Routing and capacity assignment in backbone communication networks publication-title: Computers and Operations Research doi: 10.1016/S0305-0548(96)00049-4 – volume: 6 start-page: 182 year: 2002 ident: 10.1016/j.ejor.2011.11.028_b0050 article-title: A fast and elitist multiobjective genetic algorithm: NSGA-II publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/4235.996017 – volume: 33 start-page: 219 year: 2011 ident: 10.1016/j.ejor.2011.11.028_b0090 article-title: Solving multi-objective optimal reactive power dispatch using modified NSGA-II publication-title: International Journal of Electrical Power and Energy Systems doi: 10.1016/j.ijepes.2010.08.017 – volume: 38 start-page: 5986 year: 2011 ident: 10.1016/j.ejor.2011.11.028_b0030 article-title: NNMA: An effective memetic algorithm for solving multiobjective permutation flow shop scheduling problems publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2010.11.022 – year: 1981 ident: 10.1016/j.ejor.2011.11.028_b0080 – volume: 35 start-page: 59 year: 2003 ident: 10.1016/j.ejor.2011.11.028_b0175 article-title: Application of a nonlinear trade-off scheme in the problem of structure synthesis of the data transfer systems publication-title: Journal of Automation and Information Sciences doi: 10.1615/JAutomatInfScien.v35.i5.60 – volume: 25 start-page: 131 year: 1995 ident: 10.1016/j.ejor.2011.11.028_b0130 article-title: On reliability evaluation of a capacitated-flow network in terms of minimal pathsets publication-title: Network doi: 10.1002/net.3230250306 – volume: 3 start-page: 127 year: 2009 ident: 10.1016/j.ejor.2011.11.028_b0085 article-title: Optimizing design of computer networks using multi-objectives linear programming and artificial intelligence techniques publication-title: Advances in Natural and Applied Sciences – volume: 18 start-page: 178 year: 1987 ident: 10.1016/j.ejor.2011.11.028_b0055 article-title: Testing the robustness of multiattribute utility theory in an applied setting publication-title: Decision Sciences doi: 10.1111/j.1540-5915.1987.tb01515.x – volume: 32 start-page: 1095 year: 1986 ident: 10.1016/j.ejor.2011.11.028_b0060 article-title: A multiplier adjustment method for the generalised assignment problem publication-title: Management Science doi: 10.1287/mnsc.32.9.1095 – year: 2008 ident: 10.1016/j.ejor.2011.11.028_b0070 – volume: 17 start-page: 93 year: 2001 ident: 10.1016/j.ejor.2011.11.028_b0120 article-title: A new approach to solving problems of multi-state system reliability optimization publication-title: Quality and Reliability Engineering International doi: 10.1002/qre.388 – volume: 12 start-page: 55 year: 2011 ident: 10.1016/j.ejor.2011.11.028_b0115 article-title: Mixed-variable optimal design of induction motors including efficiency, noise and thermal criteria publication-title: Optimization and Engineering doi: 10.1007/s11081-010-9115-1 – volume: 180 start-page: 63 year: 2010 ident: 10.1016/j.ejor.2011.11.028_b0025 article-title: Multi-objective and prioritized berth allocation in container ports publication-title: Annals of Operations Research doi: 10.1007/s10479-008-0493-0 |
| SSID | ssj0001515 |
| Score | 2.3643453 |
| Snippet | ► Find the optimal network line assignment with maximal network reliability and minimal total cost. ► Evaluate network reliability in terms of MPs and RSDP. ►... Network reliability is a performance indicator of computer/communication networks to measure the quality level. However, it is costly to improve or maximize... |
| SourceID | proquest pascalfrancis econis crossref elsevier |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 735 |
| SubjectTerms | Applied sciences Computer networks Computer science; control theory; systems Computer systems and distributed systems. User interface Data transmission Decision theory. Utility theory Exact sciences and technology Genetic algorithms Mathematical models Mathematical programming Multiple objective programming Networks Non-dominated sorting genetic algorithm II Operational research and scientific management Operational research. Management science Optimization Optimization algorithms Reliability Reliability theory. Replacement problems Searching Software Stochastic computer network Stochasticity Studies Technique for order preference by similarity to ideal solution Transmission lines |
| Title | Multi-objective optimization for stochastic computer networks using NSGA-II and TOPSIS |
| URI | https://dx.doi.org/10.1016/j.ejor.2011.11.028 http://www.econis.eu/PPNSET?PPN=688188206 https://www.proquest.com/docview/917916081 https://www.proquest.com/docview/1010892716 |
| Volume | 218 |
| WOSCitedRecordID | wos000300485000015&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1872-6860 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001515 issn: 0377-2217 databaseCode: AIEXJ dateStart: 19950105 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELdgmxAI8VFAK4PJSIiXylPjNHH8WKEOClU3qdlUniLHcVirLS1Ni_bnc47ttN3ENB54iSrXTaLez-fzffwOoY856F3JWEZomlPSSUUH9CCcUqgmN1OqLTsVl975gA2H0XjMTy09QVm1E2BFEV1f8_l_FTWMgbB16ew_iLu-KQzAZxA6XEHscL2X4KuSWjJLp0aVtWagFK5stWWVVAjmnrwQmp-5SijXPR1ahckGL1uryncwHH3pkn6_iizEJ6ej_uivHnxrzcLAwvkVLYFQ7WgeGJ6CHxPyfaUmay-tie5cqOInicWm-0HncbhkP1d2xRih1BRgOpVK1zp1feSuFCQz5CR2r2XG_XhLjRuPwvRITWcLQ7OqmVZtFfkWZ_bwJDk-GwySuDeOP81_Ed1OTIfdbW-Vh2iXsoCDutvt9nvjb_Umre24KsBk397WU5nUv5uP3bJZ9rSjYlJuGS9P56KEJZWbXii3tvXKVolfoGf2kIG7Bhwv0QNVNNAjV-PQQM9dLw9sVXsDPdkgpnyFzm-ACG-CCAOI8BpE2IEIOxDhCkTYgggDiLAB0Wt0dtyLP38ltgMHgTUaLEkQ8jSlua9k6omQCx7QkFFPCsZSGqWqDWvbp7wT5Iy2szAKctmWMg-j1Ms4jTL_DdopZoXaR5iJDPZkyX3hi46O3uZw0peR8jKfBTQLm8hz_3EiLT297pJymbg8xGmi5ZJoucC5NQG5NFGr_s3ckLPcOXvfiK6eG0ZgruoGBk0UOGEm1vI0FmUCiLzzlodbkq_vTAPtx_BZEx04KCR2TZYJ15TAIdjiTfSh_ha0ug7ViULNVqV-XjvilHnh23vMOUCP10vzHdpZLlbqPdqTv5eTcnFoof8HBJLEGg |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Multi-objective+optimization+for+stochastic+computer+networks+using+NSGA-II+and+TOPSIS&rft.jtitle=European+journal+of+operational+research&rft.au=Lin%2C+Yi-Kuei&rft.au=Yeh%2C+Cheng-Ta&rft.date=2012-05-01&rft.issn=0377-2217&rft.volume=218&rft.issue=3&rft.spage=735&rft.epage=746&rft_id=info:doi/10.1016%2Fj.ejor.2011.11.028&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0377-2217&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0377-2217&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0377-2217&client=summon |