Multi-Objective Particle Swarm Optimization with Dynamic Crowding Entropy-Based Diversity Measure
نویسندگان
چکیده
منابع مشابه
Entropy Diversity in Multi-Objective Particle Swarm Optimization
Multi-objective particle swarm optimization (MOPSO) is a search algorithm based on social behavior. Most of the existing multi-objective particle swarm optimization schemes are based on Pareto optimality and aim to obtain a representative non-dominated Pareto front for a given problem. Several approaches have been proposed to study the convergence and performance of the algorithm, particularly ...
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ژورنال
عنوان ژورنال: Advanced Engineering Forum
سال: 2011
ISSN: 2234-991X
DOI: 10.4028/www.scientific.net/aef.1.9