A Novel Genetic Algorithm for Constrained Multimodal Multi-Objective Optimization Problems

This paper proposes a multitasking-based genetic algorithm (MTGA-CMMO) to solve constrained multimodal multi-objective optimization problems (CMMOPs). In MTGA-CMMO, the main task is assisted by two auxiliary tasks to obtain all the feasible Pareto solution sets. The constraint boundaries of auxiliar...

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Bibliographic Details
Published in:	Mathematics (Basel) Vol. 13; no. 11; p. 1851
Main Authors:	Feng, Da, Liu, Jianchang
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.06.2025
Subjects:	Algorithms Analysis constrained multimodal multi-objective optimization problem Constraints environmental selection evolutionary multitasking Genetic algorithms mating selection Methods Multiple objective analysis Multitasking Objectives Optimization algorithms Pareto optimization Pareto optimum New York
ISSN:	2227-7390, 2227-7390
Online Access:	Get full text
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