A Spectral Clustering-Based Multi-Source Mating Selection Strategy in Evolutionary Multi-Objective Optimization

A Spectral Clustering-Based Multi-Source Mating Selection Strategy in Evolutionary Multi-Objective Optimization

In evolutionary multi-objective optimization, it has been illuminated that guide search with neighboring solutions improve the quality of new trial solutions and accelerate algorithms convergence by the regularity property of the continuous multi-objective optimization problems (MOPs). Very recently...

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Bibliographic Details
Main Authors: Shuai Wang, Hu Zhang, Yi Zhang, Aimin Zhou, Peng Wu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Algorithm convergence
clustering algorithm
evolutionary algorithm
mating restriction strategy
multi-objective optimization
population diversity
Online Access:https://ieeexplore.ieee.org/document/8835112/

Internet

https://ieeexplore.ieee.org/document/8835112/

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