A new multi-swarm multi-objective optimization method for structural design

Authors:  A. Kaveh, K. Laknejadi

Abstract: 
In this paper, a new multi-objective optimization method is proposed to solve large scale structural problems in continuous search space. This method is based on the recently developed algorithm, so called charged system search (CSS), which has been used for single objective optimization. In this study the aim is to develop a multi-objective optimization algorithm with higher convergence rate compared to the other well-known methods to enable to deal with multi-modal optimization problems having many design variables. In this method, the CSS algorithm is utilized as a search engine in combination with clustering and particle regeneration procedures. The proposed method is examined for four mathematical functions and two structural problems, and the results are compared to those of some other state-of-art approaches.

Keywords:
Multi-swarm optimization algorithms
Multi-objective optimization
Structural design
Charged system search
Particle swarm optimization
Pareto optimal

Published in: Advances Engineering Software (Volume 58, March 2013)

Publisher: Elsevier

ISSN Information: 0965-9978

A new multi-swarm multi-objective optimization method for structural design

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