A Multi-Objective Genetic Algorithm Based on Fitting and Interpolation

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...

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Bibliographic Details
Main Authors: Chuang Han, Ling Wang, Zhaolin Zhang, Jian Xie, Zijian Xing
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Multi-objective optimization
diversity
fitting
interpolation
genetic algorithm
Online Access:https://ieeexplore.ieee.org/document/8344790/

Internet

https://ieeexplore.ieee.org/document/8344790/

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