Parallel Multi-Objective Evolutionary Algorithm for Constrained Multi-Objective Optimization

Most real-world problems aim at achieving multiple objectives under a pool of constraints. Generally, the objectives of this problem category are contradictory. These problems are modeled as constrained multi-objective optimization problems (CMOPs). Solving a CMOP leads to finding an optimal solutio...

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Veröffentlicht in:	International Arab Conference on Information Technology (Online) S. 1 - 6
Hauptverfasser:	Belaiche, Leyla, Kahloul, Laid, Grid, Maroua, Abidallah, Nedjma, Benharzallah, Saber
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.12.2023
Schlagworte:	archives of infeasible solutions constrained MOEA Constrained multi-objective optimization problems directed mating Evolutionary computation Main-secondary multi-population mechanism Numerical models parallelism Performance evaluation Process planning Search problems synchronous master-slave parallel model Task analysis
ISSN:	2831-4948
Online-Zugang:	Volltext
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