Parallel Dynamic Multi-Objective Optimization Evolutionary Algorithm
Published in 2021 22nd International Arab Conference on Information Technology (ACIT) • Dec 21, 2021
NobleIDNI9P17W84R57S92
Authors:,,
Maroua Grid
Leyla Belaiche
Laïd Kahloul
Abstract
Multi-objective optimization evolutionary algorithms (MOEAs) are considered as the most suitable heuristic methods for solving multi-objective optimization problems (MOPs). These MOEAs aim to search for a uniformly distributed, near-optimal and near-complete Pareto front for a given MOP. However, MO...
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