A particle swarm optimizer for multi-objective optimization

This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a mutation operator and a grid which is used as a geographical location over objectiv...

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Principais autores:	Leticia Cagnina, Susana Cecilia Esquivel, Carlos Coello Coello
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata 2005-12-01
סדרה:	Journal of Computer Science and Technology
נושאים:	particle swarm optimization multi-objective optimization pareto optimality
גישה מקוונת:	https://journal.info.unlp.edu.ar/JCST/article/view/837
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!