A Local Pareto Front Guided Microscale Search Algorithm for Multi-Modal Multi-Objective Optimization

A Local Pareto Front Guided Microscale Search Algorithm for Multi-Modal Multi-Objective Optimization

Multimodal multiobjective optimization problems, characterized by multiple solutions mapping to identical objective vectors, are ubiquitous in real-world applications. Despite their prevalence, most existing multimodal multiobjective evolutionary algorithms (MMOEAs) predominantly focus on identifyin...

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Bibliographic Details
Main Authors: Yinghan Hong, Xiaohui Zheng, Fangqing Liu, Chunyun Li, Guizhen Mai, Dan Xiang, Cai Guo
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
Subjects:
local Pareto front
multimodal multiobjective optimization
neural network
microscale searching algorithm
Online Access:https://www.mdpi.com/2227-7390/13/13/2160
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