A Multi-Objective Genetic Algorithm Based on Fitting and Interpolation
Considering the diversity of uniform distribution for the solutions of multi-objective optimization problems, we propose the multi-objective genetic algorithm based on fitting (MOGA/F) and interpolation (MOGA/I). The selected operator is based on the optimal reference points uniformly distributed in...
Main Authors: | Chuang Han, Ling Wang, Zhaolin Zhang, Jian Xie, Zijian Xing |
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Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8344790/ |
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