Title: Region-Reduction Division Criteria-based hybrid constrained optimisation
Authors: S.D. Jabeen
Addresses: School of Applied Sciences, Haldia Institute of Technology, Haldia – 721 301, West Bengal, India
Abstract: This paper presents a new hybrid Genetic Algorithm (GA) that can be applied to solve the non-linear constrained optimisation problems by penalty function technique. In this hybrid method initially, the constrained optimisation problem has been converted into an unconstrained optimisation problem by considering different existing penalty function technique. Then, to solve the transformed problem, the proposed hybrid algorithm has been applied. The developed algorithm is based on Region-Reduction Division Criteria (RRDC) and Advanced Real-Coded Genetic Algorithm (ARCGA). The efficiency of this algorithm has been tested over several standard test problems available in the literature. The result has confirmed that this hybrid GA can produce high-quality solutions.
Keywords: global optimisation; GAs; hybrid genetic algorithms; penalty function; constrained optimisation; nonlinear optimisation.
International Journal of Artificial Intelligence and Soft Computing, 2012 Vol.3 No.2, pp.108 - 124
Published online: 29 Nov 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article