A Multi-Objective Evolutionary Algorithm Based on Uniformity and Diversity to Handle Regular and Irregular Pareto Front Shapes

A Multi-Objective Evolutionary Algorithm Based on Uniformity and Diversity to Handle Regular and Irregular Pareto Front Shapes

Achieving uniform Pareto front (PF) approximations across various PF geometries and dimensions is a significant challenge. Most multi-objective evolutionary algorithms (MOEAs) that adapt a reference set to guide the evolutionary process, do not prioritize uniformity but the degree of resemblance to...

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Bibliographic Details
Main Authors: Luis A. Marquez-Vega, Jesus Guillermo Falcon-Cardona, and Edgar Covantes Osuna
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Multi-objective evolutionary algorithms
niching selection
pair-potential energy function
Pareto front shape invariant performance
reference sets
Online Access:https://ieeexplore.ieee.org/document/10736943/

Internet

https://ieeexplore.ieee.org/document/10736943/

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