Home > Vol. 1, No. 1

International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1,  Number 1,  May 2009

Issue on Computer Science

Page(s): 211-214

Swarm Intelligence based Genetic Algorithm for Multi-Objective Optimization

           N. Aravindhu, S. Siva Sathya

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Abstract

Multi-objective optimization forms realistic models for many complex engineering problems. Different types of genetic algorithm solutions have been provided to solve these problems. In this paper a new Swarm Intelligence based Genetic Algorithm (SIGA) is proposed to overcome the disadvantages faced in the previous approaches. The example problem chosen is Multi-objective human resource allocation problem. This problem has already been solved by hybrid genetic algorithm. The newly proposed SIGA outperforms the previous one. The simulation results provided at the end of this paper proves this work.

Index Terms

Multi-objective optimization; Multi-objective human resource allocation problem; Particle swarm optimization; Swarm based genetic algorithm

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