Study of Evolutionary Algorithms for Multi-objective Optimization

There are two prominent principles of any information retrieval system precision and analysis. Precision is the proportion of correct documents retrieved by the information retrieval system to the total number of archives retrieved in the perspective of a client's inquiry. Analysis includes the...

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Published in:	SN computer science Vol. 3; no. 5; p. 409
Main Authors:	Gaikwad, Rama, Lakshmanan, Ramanathan
Format:	Journal Article
Language:	English
Published:	Singapore Springer Nature Singapore 01.09.2022 Springer Nature B.V
Subjects:	Big Data Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Decision theory Documents Efficiency Energy consumption Evolutionary algorithms Genetic algorithms Image retrieval Information retrieval Information Systems and Communication Service Keywords Language Multiple objective analysis Neural networks Objectives Optimization Pattern Recognition and Graphics Predictive Artificial Intelligence for Cyber Security and Privacy Relevance feedback Review Article Semantics Software Engineering/Programming and Operating Systems Vision Information retrieval systems Multi-objective evolutionary algorithms Query learning
ISSN:	2661-8907, 2662-995X, 2661-8907
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Abstract	There are two prominent principles of any information retrieval system precision and analysis. Precision is the proportion of correct documents retrieved by the information retrieval system to the total number of archives retrieved in the perspective of a client's inquiry. Analysis includes the way these documents are expected to be retrieved by the client. Predicting the documents that the user might need in the upcoming time is also crucial. Having the list of multiple objectives in the user query and getting the optimum result adhering to the objectives are important these days where we can make use of evolutionary algorithms which provides set of solutions to the problem. We present here in this paper study of useful multi-objective optimization algorithms, recent developments in multi-objective evolutionary algorithms, and literature which have used these algorithms. Further, we discussed our proposed system where we will make use of the knowledge gained from this examination.
AbstractList	There are two prominent principles of any information retrieval system precision and analysis. Precision is the proportion of correct documents retrieved by the information retrieval system to the total number of archives retrieved in the perspective of a client's inquiry. Analysis includes the way these documents are expected to be retrieved by the client. Predicting the documents that the user might need in the upcoming time is also crucial. Having the list of multiple objectives in the user query and getting the optimum result adhering to the objectives are important these days where we can make use of evolutionary algorithms which provides set of solutions to the problem. We present here in this paper study of useful multi-objective optimization algorithms, recent developments in multi-objective evolutionary algorithms, and literature which have used these algorithms. Further, we discussed our proposed system where we will make use of the knowledge gained from this examination.
ArticleNumber	409
Author	Gaikwad, Rama Lakshmanan, Ramanathan
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Cites_doi	10.1016/j.eswa.2014.04.033 10.1007/s11042-020-10139-6 10.1007/s10791-017-9295-9 10.1109/ACCESS.2019.2923583 10.1007/s10916-016-0603-5 10.1109/ACCESS.2019.2960285 10.1109/ACCESS.2019.2937339 10.1162/evco.1994.2.3.221 10.1016/j.ins.2018.10.034 10.1016/j.eswa.2017.10.042 10.1109/ACCESS.2019.2950045 10.1007/978-94-011-1804-0_10 10.1016/j.asoc.2017.11.016 10.1145/383952.383970 10.1145/1569901.1569904 10.1007/978-3-642-37899-7_16 10.1145/3077136.3082067 10.1109/ICEC.1994.350037
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References	Schaffer, Grefensette, Lawrence (CR3) 1985 Katoch, Chauhan, Kumar (CR4) 2021; 80 Vrajitoru, Crestani, Pasi (CR1) 2000 CR6 Haq, Ul, Hassan (CR18) 2019; 7 CR7 Liang, Yang, Gao, Yue, Ge, Boyang (CR22) 2019; 7 CR15 CR14 Djenouri, Belhadi, Belkebir (CR19) 2018; 94 CR13 CR11 Srinivas, Deb (CR8) 1994; 2 Wang, Yang, Shan, Chen (CR20) 2019; 7 Pratihar (CR2) 2007 Lin, Chen, Wu (CR10) 2014; 41 Cecchini, Lorenzetti, Maguitman, Ponzoni (CR21) 2018; 69 Duari, Bhatnagar (CR17) 2019; 477 Wan, Zheng, Si, Xiong, Zhang, Vasilakos (CR16) 2019; 7 Khennak, Drias (CR9) 2016; 40 Hajela, Lee, Lin, Bendsøe, Soares (CR5) 1993 Ebesu, Fang (CR12) 2017; 20 1283_CR11 B Wang (1283_CR20) 2019; 7 Y Djenouri (1283_CR19) 2018; 94 1283_CR15 1283_CR13 S Duari (1283_CR17) 2019; 477 1283_CR14 J Schaffer (1283_CR3) 1985 J Liang (1283_CR22) 2019; 7 S Katoch (1283_CR4) 2021; 80 T Ebesu (1283_CR12) 2017; 20 MI Haq (1283_CR18) 2019; 7 CH Lin (1283_CR10) 2014; 41 J Wan (1283_CR16) 2019; 7 RL Cecchini (1283_CR21) 2018; 69 P Hajela (1283_CR5) 1993 I Khennak (1283_CR9) 2016; 40 D Vrajitoru (1283_CR1) 2000 N Srinivas (1283_CR8) 1994; 2 1283_CR7 DK Pratihar (1283_CR2) 2007 1283_CR6
References_xml	– volume: 41 start-page: 6611 issue: 15 year: 2014 end-page: 6621 ident: CR10 article-title: Study of image retrieval and classification based on adaptive features using genetic algorithm feature selection publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2014.04.033 – volume: 80 start-page: 8091 year: 2021 end-page: 8126 ident: CR4 article-title: A review on genetic algorithm: past, present, and future publication-title: Multimed Tools Appl doi: 10.1007/s11042-020-10139-6 – volume: 20 start-page: 109 year: 2017 end-page: 131 ident: CR12 article-title: Neural Semantic Personalized Ranking for item cold-start recommendation publication-title: Inf Retrieval J doi: 10.1007/s10791-017-9295-9 – volume: 7 start-page: 80122 year: 2019 end-page: 80132 ident: CR16 article-title: An artificial intelligence driven multi-feature extraction scheme for big data detection publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2923583 – volume: 40 start-page: 240 year: 2016 ident: CR9 article-title: A firefly algorithm-based approach for pseudo-relevance feedback: application to medical database publication-title: J Med Syst doi: 10.1007/s10916-016-0603-5 – volume: 7 start-page: 185916 year: 2019 end-page: 185927 ident: CR20 article-title: Detecting hot topics from academic big data publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2960285 – ident: CR14 – ident: CR15 – volume: 7 start-page: 125387 year: 2019 end-page: 125400 ident: CR22 article-title: MOPSO-based CNN for keyword selection on google ads publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2937339 – start-page: 93 year: 1985 end-page: 100 ident: CR3 article-title: Multiple objective optimization with vector evaluated genetic algorithms publication-title: Proceedings of the first int. conference on genetic algorithms – volume: 2 start-page: 221 issue: 3 year: 1994 end-page: 248 ident: CR8 article-title: Muiltiobjective optimization using nondominated sorting in genetic algorithms publication-title: Evol Comput doi: 10.1162/evco.1994.2.3.221 – volume: 477 start-page: 100 year: 2019 end-page: 117 ident: CR17 article-title: sCAKE: semantic connectivity aware keyword extraction publication-title: Inf Sci doi: 10.1016/j.ins.2018.10.034 – ident: CR13 – ident: CR11 – volume: 94 start-page: 126 year: 2018 end-page: 136 ident: CR19 article-title: Bees swarm optimization guided by data mining techniques for document information retrieval publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2017.10.042 – volume: 7 start-page: 162254 year: 2019 end-page: 162267 ident: CR18 article-title: Text mining techniques to capture facts for cloud computing adoption and big data processing publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2950045 – year: 1993 ident: CR5 article-title: Genetic algorithms in structural topology optimization publication-title: Topology design of structures. NATO ASI series (series E: applied sciences) doi: 10.1007/978-94-011-1804-0_10 – ident: CR6 – ident: CR7 – year: 2007 ident: CR2 publication-title: Soft computing – start-page: 199 year: 2000 end-page: 222 ident: CR1 article-title: Large population or many generations for genetic algorithms? Implications in information retrieval publication-title: Soft computing in information retrieval, techniques and applications – volume: 69 start-page: 749 year: 2018 end-page: 770 ident: CR21 article-title: Topic relevance and diversity in information retrieval from large datasets: a multi-objective evolutionary algorithm approach publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2017.11.016 – ident: 1283_CR11 doi: 10.1145/383952.383970 – start-page: 199 volume-title: Soft computing in information retrieval, techniques and applications year: 2000 ident: 1283_CR1 – volume: 2 start-page: 221 issue: 3 year: 1994 ident: 1283_CR8 publication-title: Evol Comput doi: 10.1162/evco.1994.2.3.221 – volume: 477 start-page: 100 year: 2019 ident: 1283_CR17 publication-title: Inf Sci doi: 10.1016/j.ins.2018.10.034 – volume: 20 start-page: 109 year: 2017 ident: 1283_CR12 publication-title: Inf Retrieval J doi: 10.1007/s10791-017-9295-9 – volume: 80 start-page: 8091 year: 2021 ident: 1283_CR4 publication-title: Multimed Tools Appl doi: 10.1007/s11042-020-10139-6 – ident: 1283_CR13 doi: 10.1145/1569901.1569904 – volume: 94 start-page: 126 year: 2018 ident: 1283_CR19 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2017.10.042 – volume: 69 start-page: 749 year: 2018 ident: 1283_CR21 publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2017.11.016 – volume-title: Soft computing year: 2007 ident: 1283_CR2 – volume: 41 start-page: 6611 issue: 15 year: 2014 ident: 1283_CR10 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2014.04.033 – volume: 7 start-page: 125387 year: 2019 ident: 1283_CR22 publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2937339 – volume-title: Topology design of structures. NATO ASI series (series E: applied sciences) year: 1993 ident: 1283_CR5 doi: 10.1007/978-94-011-1804-0_10 – ident: 1283_CR15 doi: 10.1007/978-3-642-37899-7_16 – start-page: 93 volume-title: Proceedings of the first int. conference on genetic algorithms year: 1985 ident: 1283_CR3 – volume: 40 start-page: 240 year: 2016 ident: 1283_CR9 publication-title: J Med Syst doi: 10.1007/s10916-016-0603-5 – volume: 7 start-page: 185916 year: 2019 ident: 1283_CR20 publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2960285 – ident: 1283_CR6 – ident: 1283_CR14 doi: 10.1145/3077136.3082067 – ident: 1283_CR7 doi: 10.1109/ICEC.1994.350037 – volume: 7 start-page: 80122 year: 2019 ident: 1283_CR16 publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2923583 – volume: 7 start-page: 162254 year: 2019 ident: 1283_CR18 publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2950045
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SubjectTerms	Big Data Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Decision theory Documents Efficiency Energy consumption Evolutionary algorithms Genetic algorithms Image retrieval Information retrieval Information Systems and Communication Service Keywords Language Multiple objective analysis Neural networks Objectives Optimization Pattern Recognition and Graphics Predictive Artificial Intelligence for Cyber Security and Privacy Relevance feedback Review Article Semantics Software Engineering/Programming and Operating Systems Vision
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Title	Study of Evolutionary Algorithms for Multi-objective Optimization
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