A Hybrid Parallel Multi-Objective Genetic Algorithm for 0/1 Knapsack Problem

Sudhir B. Jagtap; Subhendu Kumar Pani; Ganeshchandra Shinde

doi:10.4236/jsea.2011.45035

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Journal of Software Engineering and Appl... > Vol.4 No.5, May 2011

A Hybrid Parallel Multi-Objective Genetic Algorithm for 0/1 Knapsack Problem ()

Sudhir B. Jagtap, Subhendu Kumar Pani, Ganeshchandra Shinde

DOI: 10.4236/jsea.2011.45035 PDF HTML 4,410 Downloads 8,061 Views Citations

Abstract

In this paper a hybrid parallel multi-objective genetic algorithm is proposed for solving 0/1 knapsack problem. Multi-objective problems with non-convex and discrete Pareto front can take enormous computation time to converge to the true Pareto front. Hence, the classical multi-objective genetic algorithms (MOGAs) (i.e., non- Parallel MOGAs) may fail to solve such intractable problem in a reasonable amount of time. The proposed hybrid model will combine the best attribute of island and Jakobovic master slave models. We conduct an extensive experimental study in a multi-core system by varying the different size of processors and the result is compared with basic parallel model i.e., master-slave model which is used to parallelize NSGA-II. The experimental results confirm that the hybrid model is showing a clear edge over master-slave model in terms of processing time and approximation to the true Pareto front.

Keywords

Multi-Objective Genetic Algorithm, Parallel Processing Techniques, NSGA-II, 0/1 Knapsack Problem, Trigger Model, Cone Separation Model, Island Model

Share and Cite:

S. Jagtap, S. Pani and G. Shinde, "A Hybrid Parallel Multi-Objective Genetic Algorithm for 0/1 Knapsack Problem," Journal of Software Engineering and Applications, Vol. 4 No. 5, 2011, pp. 316-319. doi: 10.4236/jsea.2011.45035.

Conflicts of Interest

The authors declare no conflicts of interest.

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