Decomposition-Based Multi-Objective Evolutionary Algorithm with Model-Based Ideal Point Estimation

Author:

Wu Yin1ORCID,Zheng Ruihao1ORCID,Wang Zhenkun1ORCID

Affiliation:

1. Southern University of Science and Technology, Shenzhen, China

Publisher

ACM

Reference34 articles.

1. Investigating the Normalization Procedure of NSGA-III

2. A Constrained Decomposition Approach With Grids for Evolutionary Multiobjective Optimization

3. Carlos A Coello Coello , Gary B Lamont , David A Van Veldhuizen, et al . 2007 . Evolutionary algorithms for solving multi-objective problems. Vol. 5 . Springer . Carlos A Coello Coello, Gary B Lamont, David A Van Veldhuizen, et al. 2007. Evolutionary algorithms for solving multi-objective problems. Vol. 5. Springer.

4. David W Corne , Nick R Jerram , Joshua D Knowles , and Martin J Oates . 2001 . PESA-II: Region-based selection in evolutionary multiobjective optimization . In Proceedings of the 3rd annual conference on genetic and evolutionary computation. 283--290 . David W Corne, Nick R Jerram, Joshua D Knowles, and Martin J Oates. 2001. PESA-II: Region-based selection in evolutionary multiobjective optimization. In Proceedings of the 3rd annual conference on genetic and evolutionary computation. 283--290.

5. Kalyanmoy Deb . 2011. Multi-objective optimisation using evolutionary algorithms: an introduction . In Multi-objective evolutionary optimisation for product design and manufacturing . Springer , 3--34. Kalyanmoy Deb. 2011. Multi-objective optimisation using evolutionary algorithms: an introduction. In Multi-objective evolutionary optimisation for product design and manufacturing. Springer, 3--34.

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