International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 34 - Number 2 |
Year of Publication: 2011 |
Authors: Said Labed, Amira Gherboudj, Salim Chikhi |
10.5120/4070-5586 |
Said Labed, Amira Gherboudj, Salim Chikhi . A Modified Hybrid Particle Swarm Optimization Algorithm for Multidimensional Knapsack Problem. International Journal of Computer Applications. 34, 2 ( November 2011), 11-16. DOI=10.5120/4070-5586
In this paper, a modified hybrid Particle Swarm Optimization (MHPSO) algorithm that combines some principles of Particle Swarm Optimization (PSO) and Crossover operation of the Genetic Algorithm (GA) is presented. Our contribution has a twofold aim: first, is to propose a new hybrid PSO algorithm. Second is to prove the effectiveness of the proposed algorithm in dealing with NP-hard and combinatorial optimization problems. In order to test and validate our algorithm, we have used it for solving the Multidimensional Knapsack Problem (MKP) which is a NP-hard combinatorial optimization problem. The experimental results based on some benchmarks from OR-Library, show a good and promise solution quality obtained by the proposed algorithm.