Please use this identifier to cite or link to this item: http://cimat.repositorioinstitucional.mx/jspui/handle/1008/632
COPSO: Constrained Optimization Via PSO Algorithm
ARTURO HERNANDEZ AGUIRRE
Acceso Abierto
Atribución-NoComercial
Optimización
This paper introduces the COPSO algorithm (Constrained Optimization via Particle Swarm Opti- mization) for the solution of single objective constrained optimization problems. The approach includes two new perturbation operators to prevent premature convergence, and a new ring neighborhood struc- ture. A constraint handling technique based on feasibility and sum of constraints violation, is equipped with an external Øle to store particles we termed \tolerant" . The goal of the Øle is to extend the life period of those particles that otherwise would be lost after the adjustment of the tolerance of equality constraints. COPSO is applied to various engineering design problems, and for the solution of state of the art benchmark problems. Experiments show that COPSO is robust, competitive and fast.
Centro de Investigación en Matemáticas AC
22-02-2007
Reporte
Inglés
Investigadores
LENGUAJES ALGORÍTMICOS
Versión publicada
publishedVersion - Versión publicada
Appears in Collections:Reportes Técnicos - Ciencias de la Computación

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