Zhou, Jinlong; Zhang, Yinggui; Suganthan, P. N. Dual population approximate constrained Pareto front for constrained multiobjective optimization. (English) Zbl 07741670 Inf. Sci. 648, Article ID 119591, 13 p. (2023). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{J. Zhou} et al., Inf. Sci. 648, Article ID 119591, 13 p. (2023; Zbl 07741670) Full Text: DOI
Wang, Bo; Jahanshahi, Hadi; Karaca, Yeliz; Bekiros, Stelios; Xia, Wei-Feng; Alkhateeb, Abdulhameed F.; Nour, Majid Use of evolutionary algorithms in a fractional framework to prevent the spread of coronavirus. (English) Zbl 1498.92267 Fractals 30, No. 5, Article ID 2240146, 14 p. (2022). MSC: 92D30 26A33 68W50 PDFBibTeX XMLCite \textit{B. Wang} et al., Fractals 30, No. 5, Article ID 2240146, 14 p. (2022; Zbl 1498.92267) Full Text: DOI
Li, Li; Yen, Gary G.; Sahoo, Avimanyu; Chang, Liang; Gu, Tianlong On the estimation of Pareto front and dimensional similarity in many-objective evolutionary algorithm. (English) Zbl 1524.90283 Inf. Sci. 563, 375-400 (2021). MSC: 90C29 68W50 90C59 PDFBibTeX XMLCite \textit{L. Li} et al., Inf. Sci. 563, 375--400 (2021; Zbl 1524.90283) Full Text: DOI
Ma, Haiping; Wei, Haoyu; Tian, Ye; Cheng, Ran; Zhang, Xingyi A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints. (English) Zbl 1484.90141 Inf. Sci. 560, 68-91 (2021). MSC: 90C59 68W50 90C29 PDFBibTeX XMLCite \textit{H. Ma} et al., Inf. Sci. 560, 68--91 (2021; Zbl 1484.90141) Full Text: DOI
Zhang, Maoqing; Wang, Lei; Guo, Weian; Li, Wuzhao; Li, Dongyang; Hu, Bo; Wu, Qidi Many-objective evolutionary algorithm based on relative non-dominance matrix. (English) Zbl 1475.68481 Inf. Sci. 547, 963-983 (2021). MSC: 68W50 90C29 90C59 PDFBibTeX XMLCite \textit{M. Zhang} et al., Inf. Sci. 547, 963--983 (2021; Zbl 1475.68481) Full Text: DOI
Bidgoli, Azam Asilian; Ebrahimpour-Komleh, Hossein; Rahnamayan, Shahryar Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection. (English) Zbl 1475.68261 Inf. Sci. 547, 1-17 (2021). MSC: 68T05 62H30 68W50 90C29 90C59 PDFBibTeX XMLCite \textit{A. A. Bidgoli} et al., Inf. Sci. 547, 1--17 (2021; Zbl 1475.68261) Full Text: DOI
Liagkouras, Konstantinos; Metaxiotis, Konstantinos Improving multi-objective algorithms performance by emulating behaviors from the human social analogue in candidate solutions. (English) Zbl 1487.90591 Eur. J. Oper. Res. 292, No. 3, 1019-1036 (2021). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{K. Liagkouras} and \textit{K. Metaxiotis}, Eur. J. Oper. Res. 292, No. 3, 1019--1036 (2021; Zbl 1487.90591) Full Text: DOI
Ryzhikov, Ivan; Brester, Christina; Semenkin, Eugene Inverse mathematical modelling of hexadecane disintegration reaction with cooperative multi-objective genetic algorithms. (English) Zbl 1504.92181 Gusikhin, Oleg (ed.) et al., Informatics in control, automation and robotics. 14th international conference, ICINCO 2017 Madrid, Spain, July 26–28, 2017 Revised selected papers. Cham: Springer. Lect. Notes Electr. Eng. 495, 739-760 (2020). MSC: 92E20 93B30 93C05 68W50 90C29 92-10 93-10 PDFBibTeX XMLCite \textit{I. Ryzhikov} et al., Lect. Notes Electr. Eng. 495, 739--760 (2020; Zbl 1504.92181) Full Text: DOI
Liu, Songbai; Yu, Qiyuan; Lin, Qiuzhen; Tan, Kay Chen An adaptive clustering-based evolutionary algorithm for many-objective optimization problems. (English) Zbl 1474.90538 Inf. Sci. 537, 261-283 (2020). MSC: 90C59 68W50 90C29 PDFBibTeX XMLCite \textit{S. Liu} et al., Inf. Sci. 537, 261--283 (2020; Zbl 1474.90538) Full Text: DOI
Li, Juan; Li, Jie; Pardalos, Panos M.; Yang, Chengwei DMaOEA-\(\varepsilon\)C: decomposition-based many-objective evolutionary algorithm with the \(\varepsilon\)-constraint framework. (English) Zbl 1474.90535 Inf. Sci. 537, 203-226 (2020). MSC: 90C59 68W50 90C29 PDFBibTeX XMLCite \textit{J. Li} et al., Inf. Sci. 537, 203--226 (2020; Zbl 1474.90535) Full Text: DOI
Li, Wenhua; Wang, Rui; Zhang, Tao; Ming, Mengjun; Li, Kaiwen Reinvestigation of evolutionary many-objective optimization: focus on the Pareto knee front. (English) Zbl 1458.90577 Inf. Sci. 522, 193-213 (2020). MSC: 90C29 68W50 90C59 PDFBibTeX XMLCite \textit{W. Li} et al., Inf. Sci. 522, 193--213 (2020; Zbl 1458.90577) Full Text: DOI
Jiang, Shouyong; Li, Hongru; Guo, Jinglei; Zhong, Mingjun; Yang, Shengxiang; Kaiser, Marcus; Krasnogor, Natalio AREA: an adaptive reference-set based evolutionary algorithm for multiobjective optimisation. (English) Zbl 1457.68342 Inf. Sci. 515, 365-387 (2020). MSC: 68W50 90C29 90C59 PDFBibTeX XMLCite \textit{S. Jiang} et al., Inf. Sci. 515, 365--387 (2020; Zbl 1457.68342) Full Text: DOI arXiv Link
Liu, Zhi-Zhong; Wang, Yong; Huang, Pei-Qiu AnD: a many-objective evolutionary algorithm with angle-based selection and shift-based density estimation. (English) Zbl 1456.90144 Inf. Sci. 509, 400-419 (2020). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{Z.-Z. Liu} et al., Inf. Sci. 509, 400--419 (2020; Zbl 1456.90144) Full Text: DOI arXiv Link
Liu, Yuan; Zhu, Ningbo; Li, Kenli; Li, Miqing; Zheng, Jinhua; Li, Keqin An angle dominance criterion for evolutionary many-objective optimization. (English) Zbl 1456.90143 Inf. Sci. 509, 376-399 (2020). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{Y. Liu} et al., Inf. Sci. 509, 376--399 (2020; Zbl 1456.90143) Full Text: DOI Link
Alcaraz, Javier; Landete, Mercedes; Monge, Juan F.; Sainz-Pardo, José L. Multi-objective evolutionary algorithms for a reliability location problem. (English) Zbl 1431.90084 Eur. J. Oper. Res. 283, No. 1, 83-93 (2020). MSC: 90B80 90B25 90C29 90C59 PDFBibTeX XMLCite \textit{J. Alcaraz} et al., Eur. J. Oper. Res. 283, No. 1, 83--93 (2020; Zbl 1431.90084) Full Text: DOI
Wang, Peng; Zhu, Wen; Liu, Haihua; Liao, Bo; Cai, Lijun; Wei, Xiaohui; Ren, Siqi; Yang, Jialiang A new resource allocation strategy based on the relationship between subproblems for MOEA/D. (English) Zbl 1453.90156 Inf. Sci. 501, 337-362 (2019). MSC: 90C29 68W50 90C59 91B32 PDFBibTeX XMLCite \textit{P. Wang} et al., Inf. Sci. 501, 337--362 (2019; Zbl 1453.90156) Full Text: DOI
Guerrero-Peña, Elaine; Araújo, Aluízio Fausto Ribeiro Multi-objective evolutionary algorithm with prediction in the objective space. (English) Zbl 1453.90142 Inf. Sci. 501, 293-316 (2019). MSC: 90C29 68W50 90C59 PDFBibTeX XMLCite \textit{E. Guerrero-Peña} and \textit{A. F. R. Araújo}, Inf. Sci. 501, 293--316 (2019; Zbl 1453.90142) Full Text: DOI
Zou, Juan; Fu, Liuwei; Yang, Shengxiang; Zheng, Jinhua; Ruan, Gan; Pei, Tingrui; Wang, Lei An adaptation reference-point-based multiobjective evolutionary algorithm. (English) Zbl 1451.90148 Inf. Sci. 488, 41-57 (2019). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{J. Zou} et al., Inf. Sci. 488, 41--57 (2019; Zbl 1451.90148) Full Text: DOI Link
Zhang, Hu; Sun, Jianyong; Liu, Tonglin; Zhang, Ke; Zhang, Qingfu Balancing exploration and exploitation in multiobjective evolutionary optimization. (English) Zbl 1451.90175 Inf. Sci. 497, 129-148 (2019). MSC: 90C59 68W50 90C29 PDFBibTeX XMLCite \textit{H. Zhang} et al., Inf. Sci. 497, 129--148 (2019; Zbl 1451.90175) Full Text: DOI
Bao, Chunteng; Xu, Lihong; Goodman, Erik D. A novel two-archive matching-based algorithm for multi- and many-objective optimization. (English) Zbl 1451.90170 Inf. Sci. 497, 106-128 (2019). MSC: 90C59 68W50 90C29 PDFBibTeX XMLCite \textit{C. Bao} et al., Inf. Sci. 497, 106--128 (2019; Zbl 1451.90170) Full Text: DOI
Łapa, Krystian Meta-optimization of multi-objective population-based algorithms using multi-objective performance metrics. (English) Zbl 1448.90086 Inf. Sci. 489, 193-204 (2019). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{K. Łapa}, Inf. Sci. 489, 193--204 (2019; Zbl 1448.90086) Full Text: DOI
Bai, Hui; Zheng, Jinhua; Yu, Guo; Yang, Shengxiang; Zou, Juan A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation. (English) Zbl 1443.90307 Inf. Sci. 478, 186-207 (2019). MSC: 90C29 68W50 90C59 PDFBibTeX XMLCite \textit{H. Bai} et al., Inf. Sci. 478, 186--207 (2019; Zbl 1443.90307) Full Text: DOI Link
Khan, Burhan; Hanoun, Samer; Johnstone, Michael; Lim, Chee Peng; Creighton, Douglas; Nahavandi, Saeid A scalarization-based dominance evolutionary algorithm for many-objective optimization. (English) Zbl 1441.90148 Inf. Sci. 474, 236-252 (2019). MSC: 90C29 68W50 90C59 PDFBibTeX XMLCite \textit{B. Khan} et al., Inf. Sci. 474, 236--252 (2019; Zbl 1441.90148) Full Text: DOI
Bahri, Oumayma; Benamor, Nahla; Talbi, El-Ghazali Possibilistic framework for multi-objective optimization under uncertainty. (English) Zbl 1444.90106 Talbi, El-Ghazali (ed.) et al., Bioinspired heuristics for optimization. Selected papers of the 6th international conference on metaheuristics and nature inspired computing, Marrakech, Morocco, October 27– 31, 2016. Cham: Springer. Stud. Comput. Intell. 774, 1-26 (2019). MSC: 90C29 90C15 90C59 PDFBibTeX XMLCite \textit{O. Bahri} et al., Stud. Comput. Intell. 774, 1--26 (2019; Zbl 1444.90106) Full Text: DOI
Wang, Yechuang; Cui, Zhihua; Li, Wuchao A novel coupling algorithm based on glowworm swarm optimization and bacterial foraging algorithm for solving multi-objective optimization problems. (English) Zbl 1461.90142 Algorithms (Basel) 12, No. 3, Paper No. 61, 15 p. (2019). MSC: 90C29 68T20 68W40 90C59 PDFBibTeX XMLCite \textit{Y. Wang} et al., Algorithms (Basel) 12, No. 3, Paper No. 61, 15 p. (2019; Zbl 1461.90142) Full Text: DOI
Emmerich, Michael T. M.; Deutz, André H. A tutorial on multiobjective optimization: fundamentals and evolutionary methods. (English) Zbl 07772455 Nat. Comput. 17, No. 3, 585-609 (2018). MSC: 90C29 68W50 90C59 PDFBibTeX XMLCite \textit{M. T. M. Emmerich} and \textit{A. H. Deutz}, Nat. Comput. 17, No. 3, 585--609 (2018; Zbl 07772455) Full Text: DOI
Moreno, Juan J.; Ortega, Gloria; Filatovas, Ernestas; Martínez, J. A.; Garzón, E. M. Improving the performance and energy of non-dominated sorting for evolutionary multiobjective optimization on GPU/CPU platforms. (English) Zbl 1402.90172 J. Glob. Optim. 71, No. 3, 631-649 (2018). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{J. J. Moreno} et al., J. Glob. Optim. 71, No. 3, 631--649 (2018; Zbl 1402.90172) Full Text: DOI
Filatovas, Ernestas; Lančinskas, Algirdas; Kurasova, Olga; Žilinskas, Julius A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search. (English) Zbl 1390.90582 CEJOR, Cent. Eur. J. Oper. Res. 25, No. 4, 859-878 (2017). MSC: 90C59 90C29 PDFBibTeX XMLCite \textit{E. Filatovas} et al., CEJOR, Cent. Eur. J. Oper. Res. 25, No. 4, 859--878 (2017; Zbl 1390.90582) Full Text: DOI
Ortega, Gloria; Filatovas, Ernestas; Garzón, E. M.; Casado, L. G. Non-dominated sorting procedure for Pareto dominance ranking on multicore CPU and/or GPU. (English) Zbl 1382.90099 J. Glob. Optim. 69, No. 3, 607-627 (2017). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{G. Ortega} et al., J. Glob. Optim. 69, No. 3, 607--627 (2017; Zbl 1382.90099) Full Text: DOI
Martí, Luis; García, Jesús; Berlanga, Antonio; Molina, José M. A stopping criterion for multi-objective optimization evolutionary algorithms. (English) Zbl 1428.90184 Inf. Sci. 367-368, 700-718 (2016). MSC: 90C59 90C29 PDFBibTeX XMLCite \textit{L. Martí} et al., Inf. Sci. 367--368, 700--718 (2016; Zbl 1428.90184) Full Text: DOI Link
Martí, Luis; García, Jesús; Berlanga, Antonio; Molina, José M. MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm. (English) Zbl 1369.90161 J. Glob. Optim. 66, No. 4, 729-768 (2016). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{L. Martí} et al., J. Glob. Optim. 66, No. 4, 729--768 (2016; Zbl 1369.90161) Full Text: DOI Link
Wang, Rui; Purshouse, Robin C.; Fleming, Peter J. Preference-inspired co-evolutionary algorithms using weight vectors. (English) Zbl 1346.90755 Eur. J. Oper. Res. 243, No. 2, 423-441 (2015). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{R. Wang} et al., Eur. J. Oper. Res. 243, No. 2, 423--441 (2015; Zbl 1346.90755) Full Text: DOI
Michalak, Krzysztof Using an outward selective pressure for improving the search quality of the MOEA/D algorithm. (English) Zbl 1334.90161 Comput. Optim. Appl. 61, No. 3, 571-607 (2015). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{K. Michalak}, Comput. Optim. Appl. 61, No. 3, 571--607 (2015; Zbl 1334.90161) Full Text: DOI
Karshenas, Hossein; Bielza, Concha; Larrañaga, Pedro Interval-based ranking in noisy evolutionary multi-objective optimization. (English) Zbl 1326.90077 Comput. Optim. Appl. 61, No. 2, 517-555 (2015). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{H. Karshenas} et al., Comput. Optim. Appl. 61, No. 2, 517--555 (2015; Zbl 1326.90077) Full Text: DOI Link
Ebrahimi, M.; Fatemi Ghomi, S. M. T.; Karimi, B. Hybrid flow shop scheduling with sequence dependent family setup time and uncertain due dates. (English) Zbl 1427.90169 Appl. Math. Modelling 38, No. 9-10, 2490-2504 (2014). MSC: 90B36 90C29 90C59 PDFBibTeX XMLCite \textit{M. Ebrahimi} et al., Appl. Math. Modelling 38, No. 9--10, 2490--2504 (2014; Zbl 1427.90169) Full Text: DOI
Rubio-Largo, Álvaro; Zhang, Qingfu; Vega-Rodríguez, Miguel A. A multiobjective evolutionary algorithm based on decomposition with normal boundary intersection for traffic grooming in optical networks. (English) Zbl 1355.90094 Inf. Sci. 289, 91-116 (2014). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{Á. Rubio-Largo} et al., Inf. Sci. 289, 91--116 (2014; Zbl 1355.90094) Full Text: DOI
Jiang, Siwei; Zhang, Jie; Ong, Yew-Soon Multiobjective optimization based on reputation. (English) Zbl 1355.90092 Inf. Sci. 286, 125-146 (2014). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{S. Jiang} et al., Inf. Sci. 286, 125--146 (2014; Zbl 1355.90092) Full Text: DOI
Ergul, Engin Ufuk; Eminoglu, Ilyas DOPGA: a new fitness assignment scheme for multi-objective evolutionary algorithms. (English) Zbl 1307.90203 Int. J. Syst. Sci., Princ. Appl. Syst. Integr. 45, No. 3, 407-426 (2014). MSC: 90C59 90C29 PDFBibTeX XMLCite \textit{E. U. Ergul} and \textit{I. Eminoglu}, Int. J. Syst. Sci., Princ. Appl. Syst. Integr. 45, No. 3, 407--426 (2014; Zbl 1307.90203) Full Text: DOI
García-Alonso, Carlos R.; Pérez-Naranjo, Leonor M.; Fernández-Caballero, Juan C. Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms. (English) Zbl 1301.90049 Ann. Oper. Res. 219, 187-202 (2014). MSC: 90B50 90C59 PDFBibTeX XMLCite \textit{C. R. García-Alonso} et al., Ann. Oper. Res. 219, 187--202 (2014; Zbl 1301.90049) Full Text: DOI
von Lücken, Christian; Barán, Benjamín; Brizuela, Carlos A survey on multi-objective evolutionary algorithms for many-objective problems. (English) Zbl 1334.90219 Comput. Optim. Appl. 58, No. 3, 707-756 (2014). MSC: 90C59 90C29 PDFBibTeX XMLCite \textit{C. von Lücken} et al., Comput. Optim. Appl. 58, No. 3, 707--756 (2014; Zbl 1334.90219) Full Text: DOI
Segredo, Eduardo; Segura, Carlos; León, Coromoto Memetic algorithms and hyperheuristics applied to a multiobjectivised two-dimensional packing problem. (English) Zbl 1300.90040 J. Glob. Optim. 58, No. 4, 769-794 (2014). MSC: 90C27 90C29 90C59 PDFBibTeX XMLCite \textit{E. Segredo} et al., J. Glob. Optim. 58, No. 4, 769--794 (2014; Zbl 1300.90040) Full Text: DOI
Li, Xiang; Du, Gang BSTBGA: A hybrid genetic algorithm for constrained multi-objective optimization problems. (English) Zbl 1349.90738 Comput. Oper. Res. 40, No. 1, 282-302 (2013). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{X. Li} and \textit{G. Du}, Comput. Oper. Res. 40, No. 1, 282--302 (2013; Zbl 1349.90738) Full Text: DOI
Dorronsoro, Bernabé; Danoy, Grégoire; Nebro, Antonio J.; Bouvry, Pascal Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution. (English) Zbl 1348.90635 Comput. Oper. Res. 40, No. 6, 1552-1563 (2013). MSC: 90C59 68W10 90C29 68T05 PDFBibTeX XMLCite \textit{B. Dorronsoro} et al., Comput. Oper. Res. 40, No. 6, 1552--1563 (2013; Zbl 1348.90635) Full Text: DOI
Li, Ke; Kwong, Sam; Wang, Ran; Tang, Kit-Sang; Man, Kim-Fung Learning paradigm based on jumping genes: a general framework for enhancing exploration in evolutionary multiobjective optimization. (English) Zbl 1293.90067 Inf. Sci. 226, 1-22 (2013). MSC: 90C29 68T20 90C59 PDFBibTeX XMLCite \textit{K. Li} et al., Inf. Sci. 226, 1--22 (2013; Zbl 1293.90067) Full Text: DOI
Li, Jun; Xu, Jiuping Multi-objective portfolio selection model with fuzzy random returns and a compromise approach-based genetic algorithm. (English) Zbl 1291.91194 Inf. Sci. 220, 507-521 (2013). MSC: 91G10 68T20 90C29 90C59 90C70 PDFBibTeX XMLCite \textit{J. Li} and \textit{J. Xu}, Inf. Sci. 220, 507--521 (2013; Zbl 1291.91194) Full Text: DOI
Respício, Ana; Moz, Margarida; Vaz Pato, Margarida Enhanced genetic algorithms for a bi-objective bus driver rostering problem: a computational study. (English) Zbl 1291.90099 Int. Trans. Oper. Res. 20, No. 4, 443-470 (2013). MSC: 90B35 90C29 90C59 PDFBibTeX XMLCite \textit{A. Respício} et al., Int. Trans. Oper. Res. 20, No. 4, 443--470 (2013; Zbl 1291.90099) Full Text: DOI
Dahmani, Nadia; Krichen, Saoussen; Clautiaux, François; Talbi, El-Ghazali A comparative study of multi-objective evolutionary algorithms for the bi-objective 2-dimensional vector packing problem. (English) Zbl 1407.90272 Widmayer, Peter (ed.) et al., Combinatorial optimization and applications. 7th international conference, COCOA 2013, Chengdu, China, December 12–14, 2013. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 8287, 37-48 (2013). MSC: 90C27 90C29 90C59 PDFBibTeX XMLCite \textit{N. Dahmani} et al., Lect. Notes Comput. Sci. 8287, 37--48 (2013; Zbl 1407.90272) Full Text: DOI
Denysiuk, Roman; Costa, Lino; Espírito Santo, Isabel A new hybrid evolutionary multiobjective algorithm guided by descent directions. (English) Zbl 1311.90132 J. Math. Model. Algorithms Oper. Res. 12, No. 3, 233-251 (2013). MSC: 90C29 90C59 65K10 PDFBibTeX XMLCite \textit{R. Denysiuk} et al., J. Math. Model. Algorithms Oper. Res. 12, No. 3, 233--251 (2013; Zbl 1311.90132) Full Text: DOI
Nesmachnow, Sergio Parallel multiobjective evolutionary algorithms for batch scheduling in heterogeneous computing and grid systems. (English) Zbl 1271.90077 Comput. Optim. Appl. 55, No. 2, 515-544 (2013). MSC: 90C29 90C59 90B35 PDFBibTeX XMLCite \textit{S. Nesmachnow}, Comput. Optim. Appl. 55, No. 2, 515--544 (2013; Zbl 1271.90077) Full Text: DOI
Kim, Hyoungjin; Liou, Meng-Sing New fitness sharing approach for multi-objective genetic algorithms. (English) Zbl 1268.90147 J. Glob. Optim. 55, No. 3, 579-595 (2013). MSC: 90C59 90C29 PDFBibTeX XMLCite \textit{H. Kim} and \textit{M.-S. Liou}, J. Glob. Optim. 55, No. 3, 579--595 (2013; Zbl 1268.90147) Full Text: DOI
Wu, Zhou; Chow, Tommy W. S. A local multiobjective optimization algorithm using neighborhood field. (English) Zbl 1274.90364 Struct. Multidiscip. Optim. 46, No. 6, 853-870 (2012). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{Z. Wu} and \textit{T. W. S. Chow}, Struct. Multidiscip. Optim. 46, No. 6, 853--870 (2012; Zbl 1274.90364) Full Text: DOI
Berghammer, Rudolf; Friedrich, Tobias; Neumann, Frank Convergence of set-based multi-objective optimization, indicators and deteriorative cycles. (English) Zbl 1254.90202 Theor. Comput. Sci. 456, 2-17 (2012). MSC: 90C29 68T20 90C59 PDFBibTeX XMLCite \textit{R. Berghammer} et al., Theor. Comput. Sci. 456, 2--17 (2012; Zbl 1254.90202) Full Text: DOI
Sindhya, Karthik; Deb, Kalyanmoy; Miettinen, Kaisa Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm. (English) Zbl 1251.90358 Nat. Comput. 10, No. 4, 1407-1430 (2011). MSC: 90C29 68T20 90C59 PDFBibTeX XMLCite \textit{K. Sindhya} et al., Nat. Comput. 10, No. 4, 1407--1430 (2011; Zbl 1251.90358) Full Text: DOI Link
Alberto, I.; Mateo, P. M. A crossover operator that uses Pareto optimality in its definition. (English) Zbl 1225.90113 Top 19, No. 1, 67-92 (2011). MSC: 90C29 90C59 68T20 PDFBibTeX XMLCite \textit{I. Alberto} and \textit{P. M. Mateo}, Top 19, No. 1, 67--92 (2011; Zbl 1225.90113) Full Text: DOI
Gao, Jiaquan; Wang, Jun A hybrid quantum-inspired immune algorithm for multiobjective optimization. (English) Zbl 1207.65078 Appl. Math. Comput. 217, No. 9, 4754-4770 (2011). MSC: 65K05 90C29 81P68 68Q12 PDFBibTeX XMLCite \textit{J. Gao} and \textit{J. Wang}, Appl. Math. Comput. 217, No. 9, 4754--4770 (2011; Zbl 1207.65078) Full Text: DOI
Garcia-Najera, Abel; Bullinaria, John A. An improved multi-objective evolutionary algorithm for the vehicle routing problem with time windows. (English) Zbl 1231.90087 Comput. Oper. Res. 38, No. 1, 287-300 (2011). MSC: 90B06 90C27 90C59 90C29 PDFBibTeX XMLCite \textit{A. Garcia-Najera} and \textit{J. A. Bullinaria}, Comput. Oper. Res. 38, No. 1, 287--300 (2011; Zbl 1231.90087) Full Text: DOI
Mateo, Pedro M.; Alberto, Isolina Re-implementing NSGA-II and SPEA2 using Pareto based operators. (English) Zbl 1242.90218 Esteban, L. M. (ed.) et al., The Pyrenees international workshop and summer school on statistics, probability and operations research, SPO 2009, Jaca, Spain, September 15–18, 2009. Zaragoza: Univ. de Zaragoza, Seminario Matemático “García de Galdeano” (ISBN 978-84-15031-92-5/pbk). Monografías Matemáticas “García de Galdeano” 36, 99-108 (2010). MSC: 90C29 90C59 68T20 PDFBibTeX XMLCite \textit{P. M. Mateo} and \textit{I. Alberto}, Monogr. Mat. García Galdeano 36, 99--108 (2010; Zbl 1242.90218)
Ahn, Chang Wook; Kim, Eungyeong; Kim, Hyun-Tae; Lim, Dong-Hyun; An, Jinung A hybrid multiobjective evolutionary algorithm: Striking a balance with local search. (English) Zbl 1207.90087 Math. Comput. Modelling 52, No. 11-12, 2048-2059 (2010). MSC: 90C29 90C59 90C27 PDFBibTeX XMLCite \textit{C. W. Ahn} et al., Math. Comput. Modelling 52, No. 11--12, 2048--2059 (2010; Zbl 1207.90087) Full Text: DOI
Wong, Eugene Y. C.; Lau, Henry Y. K.; Mak, K. L. Immunity-based evolutionary algorithm for optimal global container repositioning in liner shipping. (English) Zbl 1200.90026 OR Spectrum 32, No. 3, 739-763 (2010). MSC: 90B06 90C59 PDFBibTeX XMLCite \textit{E. Y. C. Wong} et al., OR Spectrum 32, No. 3, 739--763 (2010; Zbl 1200.90026) Full Text: DOI
Bader, Johannes; Deb, Kalyanmoy; Zitzler, Eckart Faster hypervolume-based search using Monte Carlo sampling. (English) Zbl 1184.90147 Ehrgott, Matthias (ed.) et al., Multiple criteria decision making for sustainable energy and transportation systems. Proceedings of the 19th international conference on multiple criteria decision making, Auckland, New Zealand, 7th – 12th January 2008. Berlin: Springer (ISBN 978-3-642-04044-3/pbk). Lecture Notes in Economics and Mathematical Systems 634, 313-326 (2010). MSC: 90C29 65K05 90C59 PDFBibTeX XMLCite \textit{J. Bader} et al., Lect. Notes Econ. Math. Syst. 634, 313--326 (2010; Zbl 1184.90147) Full Text: DOI
Sağ, Tahir; çunkaş, Mehmet A tool for multiobjective evolutionary algorithms. (English) Zbl 1170.65053 Adv. Eng. Softw. 40, No. 9, 902-912 (2009). MSC: 65K05 90C29 65Y15 PDFBibTeX XMLCite \textit{T. Sağ} and \textit{M. çunkaş}, Adv. Eng. Softw. 40, No. 9, 902--912 (2009; Zbl 1170.65053) Full Text: DOI
Copiello, Diego; Fabbri, Giampietro Multi-objective genetic optimization of the heat transfer from longitudinal wavy fins. (English) Zbl 1157.80316 Int. J. Heat Mass Transfer 52, No. 5-6, 1167-1176 (2009). MSC: 80A20 76R05 76M10 80M10 90C59 PDFBibTeX XMLCite \textit{D. Copiello} and \textit{G. Fabbri}, Int. J. Heat Mass Transfer 52, No. 5--6, 1167--1176 (2009; Zbl 1157.80316) Full Text: DOI
Bui, Lam T.; Abbass, Hussein A.; Essam, Daryl Local models-an approach to distributed multi-objective optimization. (English) Zbl 1153.90530 Comput. Optim. Appl. 42, No. 1, 105-139 (2009). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{L. T. Bui} et al., Comput. Optim. Appl. 42, No. 1, 105--139 (2009; Zbl 1153.90530) Full Text: DOI
Eskandari, Hamidreza; Geiger, Christopher D. A fast Pareto genetic algorithm approach for solving expensive multiobjective optimization problems. (English) Zbl 1211.90207 J. Heuristics 14, No. 3, 203-241 (2008). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{H. Eskandari} and \textit{C. D. Geiger}, J. Heuristics 14, No. 3, 203--241 (2008; Zbl 1211.90207) Full Text: DOI
Gong, Maoguo; Jiao, Licheng; Ma, Wenping; Du, Haifeng Multiobjective optimization using an immunodominance and clonal selection inspired algorithm. (English) Zbl 1151.90537 Sci. China, Ser. F. 51, No. 8, 1064-1082 (2008). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{M. Gong} et al., Sci. China, Ser. F 51, No. 8, 1064--1082 (2008; Zbl 1151.90537) Full Text: DOI
Belgasmi, Nabil; Ben Saïd, Lamjed; Ghédira, Khaled Evolutionary multiobjective optimization of the multi-location transshipment problem. (English) Zbl 1183.90011 Oper. Res., Int. J. 8, No. 2, 167-183 (2008). MSC: 90B05 90C59 PDFBibTeX XMLCite \textit{N. Belgasmi} et al., Oper. Res., Int. J. 8, No. 2, 167--183 (2008; Zbl 1183.90011) Full Text: DOI arXiv
Zinflou, Arnaud; Gagné, Caroline; Gravel, Marc; Price, Wilson L. Pareto memetic algorithm for multiple objective optimization with an industrial application. (English) Zbl 1151.90045 J. Heuristics 14, No. 4, 313-333 (2008). MSC: 90C29 90C27 90C90 PDFBibTeX XMLCite \textit{A. Zinflou} et al., J. Heuristics 14, No. 4, 313--333 (2008; Zbl 1151.90045) Full Text: DOI
Pato, Margarida Vaz; Moz, Margarida Solving a bi-objective nurse rerostering problem by using a utopic Pareto genetic heuristic. (English) Zbl 1151.90063 J. Heuristics 14, No. 4, 359-374 (2008). MSC: 90C59 90C35 90C29 PDFBibTeX XMLCite \textit{M. V. Pato} and \textit{M. Moz}, J. Heuristics 14, No. 4, 359--374 (2008; Zbl 1151.90063) Full Text: DOI Link
Gil, C.; Márquez, A.; Baños, R.; Montoya, M. G.; Gómez, J. A hybrid method for solving multi-objective global optimization problems. (English) Zbl 1179.90300 J. Glob. Optim. 38, No. 2, 265-281 (2007). MSC: 90C29 90C26 90C59 PDFBibTeX XMLCite \textit{C. Gil} et al., J. Glob. Optim. 38, No. 2, 265--281 (2007; Zbl 1179.90300) Full Text: DOI
Tavakkoli-Moghaddam, Reza; Rahimi-Vahed, Alireza; Mirzaei, Ali Hossein A hybrid multi-objective immune algorithm for a flow shop scheduling problem with bi-objectives: weighted mean completion time and weighted mean tardiness. (English) Zbl 1121.90340 Inf. Sci. 177, No. 22, 5072-5090 (2007). MSC: 90B35 90C59 PDFBibTeX XMLCite \textit{R. Tavakkoli-Moghaddam} et al., Inf. Sci. 177, No. 22, 5072--5090 (2007; Zbl 1121.90340) Full Text: DOI
Baños, R.; Gil, C.; Paechter, B.; Ortega, J. A hybrid meta-heuristic for multi-objective optimization: MOSATS. (English) Zbl 1178.90351 J. Math. Model. Algorithms 6, No. 2, 213-230 (2007). MSC: 90C59 05C85 90C29 90C27 90C35 PDFBibTeX XMLCite \textit{R. Baños} et al., J. Math. Model. Algorithms 6, No. 2, 213--230 (2007; Zbl 1178.90351) Full Text: DOI
García-Martínez, C.; Cordón, O.; Herrera, F. A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP. (English) Zbl 1114.90103 Eur. J. Oper. Res. 180, No. 1, 116-148 (2007). MSC: 90C27 90C29 90C59 PDFBibTeX XMLCite \textit{C. García-Martínez} et al., Eur. J. Oper. Res. 180, No. 1, 116--148 (2007; Zbl 1114.90103) Full Text: DOI
Osman, M. S.; Abo-Sinna, Mahmoud A.; Mousa, A. A. IT-CEMOP: an iterative co-evolutionary algorithm for multiobjective optimization problem with nonlinear constraints. (English) Zbl 1105.65331 Appl. Math. Comput. 183, No. 1, 373-389 (2006). MSC: 65K05 90C29 PDFBibTeX XMLCite \textit{M. S. Osman} et al., Appl. Math. Comput. 183, No. 1, 373--389 (2006; Zbl 1105.65331) Full Text: DOI
Kumar, Rajeev; Banerjee, Nilanjan Analysis of a multiobjective evolutionary algorithm on the 0-1 knapsack problem. (English) Zbl 1097.68155 Theor. Comput. Sci. 358, No. 1, 104-120 (2006). MSC: 68W40 90C27 90C29 68T05 68T20 90C59 PDFBibTeX XMLCite \textit{R. Kumar} and \textit{N. Banerjee}, Theor. Comput. Sci. 358, No. 1, 104--120 (2006; Zbl 1097.68155) Full Text: DOI
Zeng, Sanyou; Yao, Shuzhen; Kang, Lishan; Liu, Yong An efficient multi-objective evolutionary algorithm: OMOEA-II. (English) Zbl 1109.68642 Coello Coello, Carlos A. (ed.) et al., Evolutionary multi-criterion optimization. Third international conference, EMO 2005, Guanajuato, Mexico, March 9–11, 2005. Proceedings. Berlin: Springer (ISBN 3-540-24983-4/pbk). Lecture Notes in Computer Science 3410, 108-119 (2005). MSC: 68T20 90C29 90C59 PDFBibTeX XMLCite \textit{S. Zeng} et al., Lect. Notes Comput. Sci. 3410, 108--119 (2005; Zbl 1109.68642) Full Text: DOI
Zeng, Sanyou; Ding, Lixin; Kang, Lishan Solving a kind of high complexity multi-objective problems by a fast algorithm. (English) Zbl 1061.90104 Wuhan Univ. J. Nat. Sci. 8, No. 1B, 183-188 (2003). MSC: 90C29 90C59 68T20 PDFBibTeX XMLCite \textit{S. Zeng} et al., Wuhan Univ. J. Nat. Sci. 8, No. 1B, 183--188 (2003; Zbl 1061.90104) Full Text: DOI