Výsledky vyhľadávania - "Multi-objective integer programming"
-
1
Autori: a ďalší
Zdroj: Mathematics ; Volume 12 ; Issue 18 ; Pages: 2844
Predmety: fuzzy multi-objective integer programming problem, multi-period integrated vehicle routing and scheduling, multi-objective ant colony system, simulated annealing algorithm
Popis súboru: application/pdf
Relation: D2: Operations Research and Fuzzy Decision Making; https://dx.doi.org/10.3390/math12182844
Dostupnosť: https://doi.org/10.3390/math12182844
-
2
Autori: a ďalší
Zdroj: Annals of Operations Research. 319:1769-1791
Predmety: Multi-objective integer programming, ddc:000, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Decision space robustness, 02 engineering and technology, Decision analysis, Connectedness of efficient solutions, Representation
-
3
Autori:
Zdroj: مدیریت تولید و عملیات, Vol 13, Iss 2, Pp 1-21 (2022)
Predmety: assignment, multi-objective integer programming model, topsis, senior staffs, preferences, satisfaction, Management. Industrial management, HD28-70, Production management. Operations management, TS155-194
Popis súboru: electronic resource
Relation: https://jpom.ui.ac.ir/article_26554_2523e89b200abe0585fd153685ae946b.pdf; https://doaj.org/toc/2423-6950
Prístupová URL adresa: https://doaj.org/article/df9141012a6a45ac9ea313038ccd0b77
-
4
Autori: a ďalší
Zdroj: International Journal of Mathematical, Engineering and Management Sciences, Vol 5, Iss 6, Pp 1249-1269 (2020)
Predmety: exact and approximate methods for ranked-optimal solutions, Technology, multi-objective integer programming model, non-dominated point set, k-ranked optimal solutions, QA1-939, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, rank-based solution method, 02 engineering and technology, Mathematics
Prístupová URL adresa: https://doaj.org/article/f942c0c76e5b4c558a906fe89f7f927b
-
5
Autori: a ďalší
Predmety: Medicine, Sociology, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, Fuzzy TOPSIS, ground intra-city express delivery network, multi-objective integer programming, multiple centrality assessment, optimization
Dostupnosť: https://doi.org/10.6084/m9.figshare.21767769.v1
-
6
Autori: a ďalší
Zdroj: Forget, N, Gadegaard, S L, Klamroth, K, Nielsen, L R & Przybylski, A 2022, 'Branch-and-bound and objective branching with three or more objectives', Computers and Operations Research, vol. 148, 106012. https://doi.org/10.1016/j.cor.2022.106012
Predmety: Bound sets, Branch & bound, Multi-objective combinatorial optimization, Multi-objective integer programming, Objective branching
Popis súboru: application/pdf
-
7
Autori: a ďalší
Zdroj: Computers & Operations Research. 96:80-90
Predmety: ta113, Multi-objective integer programming, Interactive algorithm, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice, Approximation algorithm, 3. Good health
Prístupová URL adresa: http://juuli.fi/Record/0330107718
https://doi.org/10.1016/j.cor.2018.04.005
https://researchportal.port.ac.uk/portal/en/publications/an-interactive-approximation-algorithm-for-multiobjective-integer -programs(c3faf26f-dc0c-4eb0-9c43-48a9139cfdf0).html
https://research.aalto.fi/en/publications/an-interactive-approximation-algorithm-for-multiobjective-integer -programs(b3811798-aa8d-401b-b6f0-ad786baa987b).html
https://www.sciencedirect.com/science/article/pii/S0305054818300881
https://dblp.uni-trier.de/db/journals/cor/cor96.html#LokmanKKW18
https://avesis.metu.edu.tr/yayin/5148960c-5364-450c-8476-d89d0ef7bedc/an-interactive-approximation-algorithm-for-multi -objective -integer -programs -
8
Autori: a ďalší
Predmety: Operations research, Combinatorial optimization, Multi-objective integer programming, Non-dominated solution, The improved recursive method
Relation: 10779/rmit.27562641.v1
-
9
Autori:
Zdroj: International Journal of Information Technology & Decision Making. :29-54
Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Data envelopment analysis, multi-objective, integer programming
Prístupová URL adresa: http://etd.lib.metu.edu.tr/upload/12607476/index.pdf
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=200902294129278272
https://ideas.repec.org/a/wsi/ijitdm/v08y2009i01ns0219622009003259.html
https://www.worldscientific.com/doi/abs/10.1142/S0219622009003259
https://dblp.uni-trier.de/db/journals/ijitdm/ijitdm8.html#KoksalanT09
https://avesis.metu.edu.tr/yayin/e11b8842-2d94-4860-ab1f-5415605b1cc3/a-dea-based-approach-to-ranking-multi -criteria-alternatives
http://www.worldscinet.com/cgi-bin/details.cgi?type=pdf&id=pii:S0219622009003259
http://www.worldscinet.com/cgi-bin/details.cgi?type=html&id=pii:S0219622009003259 -
10
Autori:
Zdroj: International Transactions in Operational Research. 8:367-380
Predmety: Software, source code, etc. for problems pertaining to operations research and mathematical programming, decision support system, Nonlinear programming, multiple criteria, nonlinear programming, tabu search, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, multi-objective integer programming, Approximation methods and heuristics in mathematical programming, Multi-objective and goal programming, reference point
Popis súboru: application/xml
Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdf/10.1111/1475-3995.00271
-
11
Autori: Hadi Charkhgard
Predmety: multi-objective integer programming, efficient frontier, approximate efficient frontier, optimising over efficient frontier, nadir point, normal form games, nondominated Nash points, positive multi-linear programs with affine constraints
Relation: 1959.13/1309699
-
12
Autori: LOKMAN, Banu
Zdroj: Volume: 28, Issue: 1 19-39
Endüstri Mühendisliği
Journal of Industrial EngineeringPredmety: Baskın nokta, temsili baskın nokta, kalite ölçüleri, çok amaçlı tamsayı programlama, Nondominated point, representative point, quality measures, multi-objective integer programming
Popis súboru: application/pdf
Prístupová URL adresa: https://dergipark.org.tr/tr/pub/endustrimuhendisligi/issue/46686/584143
-
13
Autori: a ďalší
Predmety: Data management and data science not elsewhere classified, Exact and approximate methods for ranked-optimal solutions, K-ranked optimal solutions, Multi-objective integer programming model, Non-dominated point set, Rank-based solution method
Relation: 10779/rmit.27535167.v1
-
14
Autori: a ďalší
Zdroj: Resources Policy. 63:101408
Predmety: Monitoring, Policy and Law, Production scheduling, 0211 other engineering and technologies, 2002 Economics and Econometrics, 02 engineering and technology, 3308 Law, Non-dominated sorting genetic algorithm (NSGA-II), Multi-objective integer programming (MOIP), 0205 materials engineering, 3312 Sociology and Political Science, 2308 Management, Stope layout, Integrated optimization, Sublevel stopping (SLS)
-
15
Autori:
Zdroj: Journal of the Operational Research Society. 37:285-291
Predmety: Numerical mathematical programming methods, Sensitivity, stability, parametric optimization, 0211 other engineering and technologies, Integer programming, computational experimentation, heuristics, 02 engineering and technology, multi-objective integer-programming, 0101 mathematics, selection and contraction method, 01 natural sciences, interactive approach
Popis súboru: application/xml
-
16
Autori: Lokman, Banu
Zdroj: Volume: 28, Issue: 119-39 ; 1300-3410 ; 2667-7539 ; Endüstri Mühendisliği ; Journal of Industrial Engineering
Predmety: Baskın nokta, temsili baskın nokta, kalite ölçüleri, çok amaçlı tamsayı programlama, Nondominated point, representative point, quality measures, multi-objective integer programming
Popis súboru: application/pdf
-
17
Autori: a ďalší
Prispievatelia: a ďalší
Predmety: 共享經濟, 共享單車, 綠色閉環供應鏈, 多目標整數規劃模型, 利潤最大化, 碳排放最小化, NSGA-II演算法, Pareto解集, sharing economy, sharing bicycle, green closed-loop supply chain, multi-objective integer programming model, profit maximization, carbon minimization, NSGA-II Algorithm, Pareto solution set
Popis súboru: 1711313 bytes; application/pdf
Relation: 1. Aras et al.(2008).Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles,Eur. J. Oper. Res., 191 2008, pp. 1223-1240\n2. Abdallah et al.(2012). Green supply chains with carbon trading and environmental sourcing: Formulation and life cycle assessment, Applied Mathematical Modelling, Vol. 36 (9), pp. 4271-4285\n3. Bazan et al. 2016) A review of mathematical inventory models for reverse logistics and the future of its modeling: An environmental perspective, Applied Mathematical Modelling,Volume 40, Issues 5–6, March 2016, pp. 4151-4178\n4. Chemla et al. 2013). Bike sharing systems: Solving the static rebalancing problem, Discrete Optimization,Volume 10, Issue 2, May 2013, pp.120-146\n5. Cohen&Welling,(2015). Transformation Properties of Learned Visual Representations, In International Conference on Learning Representations (ICLR), 2015\n6. Corne, et al.(2000). The Pareto envelope-based selection algorithm for multiobjective optimization, Proceedings of sixth international conference on parallel problem solving from Nature, 18–20 September, 2000, Springer, Paris, France\n7. Deb et al.(2002). A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Trans Evol Comput, Vol. 6 (2), pp. 182-197\n8. Deb et al.(2000). A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II,Proceedings of sixth international conference on parallel problem solving from nature, 18–20 September, 2000, Springer, Paris, France\n9. Diabat et al.(2013).Strategic closed-loop facility location problem with carbon market trading,IEEE Trans. Eng. Manag., 60 (2) (2013), pp. 398-408\n10. Fahimnia et al. (2013).The impact of carbon pricing on a closed-loop supply chain: an Australian case study, Journal of Cleaner Prod., 59 (13), pp. 210-225\n11. Fleischmann et al.(1997). Quantitative models for reverse logistics: A review, European Journal of Operational Research,Volume 103, Issue 1, 16 November 1997, pp. 1-17\n12. Fleischmann et al. (2001). The impact of product recovery on logistics network design,Prod. Oper. Manag., Vol. 10 , pp. 156-173\n13. Fonseca&Fleming,(1993).Genetic algorithms for multiobjective optimization: formulation, discussion and generalization, Proceedings of the ICGA-93: fifth international conference on genetic algorithms, 17–22 July 1993, Morgan Kaufmann, Urbana-Champaign, IL, USA\n14. Guide&Van(2001). WassenhoveManaging product returns for remanufacturing, Prod. Oper. Manag., Vol. 10 (2), pp. 142-155\n15. Goldberg,(1989), Genetic algorithms in search, optimization, and machine learning, Addison-Wesley Longman Publishing Co., Boston, MA, USA\n16. Gui et al.(2016). Efficient Implementation of Collective Extended Producer Responsibility Legislation,Manage. Sci., Vol. 62 (4), pp. 1098-1123\n17. Govindan et al.(2015). Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future, European Journal of Operational Research,Volume 240, Issue 3, 1 February 2015, pp. 603-626\n18. Holland（1975）Adaptation in natural and artificial systems，University of Michigan Press, Ann Arbor Kapetanopoulou , Tagaras , (2010) . Drivers and obstacles of product recovery activities in the Greek industry, Int. J. Oper. Prod. Manag. Vol. 31 (2) 148-166\n19. Jayaramana et al.(2003). The design of reverse distribution networks: Models and solution procedures European Journal of Operational ResearchVolume 150, Issue 1, 1 October 2003, Pages 128-149\n20. Ko&Evans(2007)A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs,Computers & Operations Research, 34 (2) (2007), pp. 346-366\n21. Kadambala et al.,(2017). Closed loop supply chain networks: Designs for energy and time value efficiency, International Journal of Production Economics,Volume 183, Part B, January 2017, pp. 382-393\n22. Krikke,(2011). Impact of closed-loop network configurations on carbon footprints: A case study in copiers, Resources, Conservation and Recycling,Volume 55, Issue 12, October 2011,pp. 1196-1205\n23. Konak et al.(2006). Multi-objective optimization using genetic algorithms: A tutorial, Reliability Engineering & System Safety,Volume 91, Issue 9, September 2006, pp.992-1007\n24. Lee,(2009),Dynamic network design for reverse logistics operations under uncertaintyTransp. Res. Part E, 45 (2009), pp. 61-71\n25. Min (2006). A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns, Omega Vol.34, pp.56–69\n26. Soleimani et al.(2013). Designing and planning a multi-echelon multi-period multi-product closed-loop supply chain utilizing genetic algorithm, The International Journal of Advanced Manufacturing Technology, Vol. 68 (1–4), pp. 917-931\n27. Pishvaee et al. (2009),A stochastic optimization model for integrated forward/reverse logistics network design J. Manuf. Syst., 28 (2009), pp. 107-114\n28. Pishvaee,&Kianfar(2010),Reverse logistics network design using simulated annealing Int. J. Adv. Manuf. Technol., 47 (2010), pp. 269-281\n29. RoHS (2008).Working with EEE producers to ensure RoHS compliance through the European Union, URL http://www.rohs.eu/english/index.html.\n30. Rahman&Subramanian,(2012). Factors for implementing end-of-life computer recycling operations in reverse supply chains, Int. J. Prod. Econ., Vol. 140 pp. 239-248\n31. Su(2014). Fuzzy multi-objective recoverable remanufacturing planning decisions involving multiple components and multiple machines, Computers & Industrial Engineering, Vol. 72 , pp. 72-83\n32. Shi et al.(2017). Multi-objective optimization for a closed-loop network design problem using an improved genetic algorithm, Applied Mathematical Modelling,Volume 45, May 2017, pp. 14-30\n33. Walther&Spengler, (2005). Impact of WEEE-directive on reverse logistics in Germany, Int. J. Phys. Distrib. Logist. Manag. 35 337–361\n34. Özkır&Başlıgil, (2013). Multi-objective optimization of closed-loop supply chains in uncertain environment, Journal of Cleaner Production, Vol. 41, pp. 114-125\n35. Zitzler&Thiele,(1999).Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach,IEEE Trans Evol Comput, 3 (4) (1999), pp. 257-271\n36. Zitzler et al.(2000). Comparison of multiobjective evolutionary algorithms: empirical results, Evol Comput, 8 (2), pp. 173-195\n37. Zailini et al.(2012), Sustainable supply chain management (SSCM) in Malaysia: A survey, International Journal of Production Economics,Volume 140, Issue 1, November 2012, pp. 330-340\n38. Zhou&Gen(1999). Genetic algorithm approach on multi-criteria minimum spanning tree problem, Eur. J. Oper. Res., Vol. 114, pp. 141-152\n39. 李敏蓮，（2017）。共享單車市場調研與分析。財經界，pp.121-123。\n40. 劉亞楠，（2017）。共享單車發展研究分析。時代金融，No.03，pp.251-254。\n41. 常山，宋瑞，何世偉，黎浩東，（2018）。共享單車故障車輛回收模型。吉林大學學報，Vol.48，No.6 pp.1677-1683。\n42. 郭鹏，林祥枝，黄艺，涂思明，白晓明，杨雅雯，叶林，（2017）。共享单车:互联网技术与公共服务中的协同治理。公共管理學報，No.3 ，pp.1-10。\n43. 湯天波，吳曉隽，（2015）。共享经济：“互联网+”下的颠覆性经济模式。科學發展，No.12，pp.78-85。\n44. 胡靜靜，（2018）。共享經濟：國內外文獻綜述與研究展望。改革與戰略No.34，pp.134-138。\n45. 中國信通院，2017年共享單車經濟社會影響報告，上網日期2018年2月6日，檢自：http://www.caict.ac.cn/sytj/201802/t20180206_172836.htm\n46. 李成東，摩拜1000，哈罗800，ofo的车500块到底有什么差别？，上網日期2018年4月17日，檢自：https://zhuanlan.zhihu.com/p/35768121\n47. 企鵝智酷調查，2016年12月，檢自https://tech.qq.com/a/20170228/019218.htm; G0106356042; https://nccur.lib.nccu.edu.tw//handle/140.119/125534; https://nccur.lib.nccu.edu.tw/bitstream/140.119/125534/1/604201.pdf
-
18
Autori: Sawik, T.
Zdroj: Automatyka / Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie.
Predmety: harmonogramowanie produkcji, wielokryterialne programowanie całkowitoliczbowe, optymalizacja łańcuchów dostaw, production scheduling, multi-objective integer programming, supply chain optimization
Prístupová URL adresa: http://yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-article-AGH1-0004-0100
-
19
Autori:
Prispievatelia:
Predmety: multi-objective integer programming, efficient frontier, approximate efficient frontier, optimising over efficient frontier, nadir point, normal form games, nondominated Nash points, positive multi-linear programs with affine constraints
Relation: University of Newcastle Research Higher Degree Thesis; http://hdl.handle.net/1959.13/1309699; uon:21932
Dostupnosť: http://hdl.handle.net/1959.13/1309699
-
20
Autori:
Predmety: multi-objective integer programming, nondominated points, optimizing over the efficient set, Nadir point
Relation: 1959.13/1062187
Nájsť tento článok vo Web of Science 
Full Text Finder