Open Access
| Issue |
MATEC Web Conf.
Volume 139, 2017
2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
|
|
|---|---|---|
| Article Number | 00225 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/201713900225 | |
| Published online | 05 December 2017 | |
- Whitley D, Rana S, Dzubera J, et al. Evaluating evolutionary algorithms. Artificial Intelligence, 1996, 85(1-2): 245–276 [CrossRef] [Google Scholar]
- Abraham A, Jain L, Goldberg R. Evolutionary Multi-objective Optimization: Theoretical Advances and Applications. London: Springer, 2005 [Google Scholar]
- Van Veldhuizen David A, Lamont G B. Multiobjective evolutionary algorithm test suites. In: Carroll J, et al. Editors, Proceedings of the 1999 ACM Symposium on Applied Computing, 1999: 351–357 [CrossRef] [Google Scholar]
- M Fonseca Carlos, Peter J Fleming. Multiobjective genetic algorithms made easy: selection, s haring, and mating restriction. In: Proceedings of the First In ternational Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, 1995: 42–52 [Google Scholar]
- SCHOTT J R. Fault tolerant design using single and multicriteria genetic algorithm optimization. Cambridge: Massachusetts Institute of Technology, 1995 [Google Scholar]
- Ishibuchi, Hisao, et al. “Simultaneous Use of Different Scalarizing Functions in MOEA/D. ” Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, Usa, July 2010:519–526. [Google Scholar]
- Srinivas N, Deb K. Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms. Evolutionary Computation, 1995, 2 (3): 221-248 [Google Scholar]
- Deb K, PA Prata, S Agarw al, et al. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 2002, 6: 182–197 [Google Scholar]
- Huband S, Barone L, While L, et al. A Scalable Multi-objective Test ProblemToolkit. Proceedings of the Evolutionary Multi-criterion Optimization’05, Berlin, Germany: Springer, 2005: 280–295 [CrossRef] [Google Scholar]
- Laumanns M, Thiele L, Deb k, et al. Combining convergence and diversity in evolutionary multiobjective optimization. Evolutionary Computation, 2002, 10(3): 263–282 [Google Scholar]
- Cheng P, Zhang Zili. Design and analysis of test problems of multi objective evolutionary algorithm. computer project, 2009, 35(14): 238–240(in Chinese) [Google Scholar]
- Z X Shang, Liu H. A Multiple-Objective Algorism Design and Strategy Study Based on Target Space Partitioning. Advanced Materials Research, 2011, 1228: 219–220(in Chinese) [Google Scholar]
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