NEW BINARY PARTICLE SWARM OPTIMIZATION WITH IMMUNITY-CLONAL ALGORITHM
EL-Gammal · Journal of Computer Science · 2013
Particle Swarm Optimization used to solve a continuous problem and has been shown to perform well however, binary version still has some problems.In order to solve these problems a new technique called New Binary Particle Swarm Optimization using Immunity-Clonal Algorithm (NPSOCLA) is proposed This Algorithm proposes a new updating strategy to update the position vector in Binary Particle Swarm Optimization (BPSO), which further combined with Immunity-Clonal Algorithm to improve the optimization ability.To investigate the performance of the new algorithm, the multidimensional 0/1 knapsack problems are used as a test benchmarks.The experiment results demonstrate that the New Binary Particle Swarm Optimization with Immunity Clonal Algorithm, found the optimum solution for 53 of the 58 multidimensional 0/1knapsack problems.