TY  - JOUR
AU  - EL-Gammal, Dina 
AU  - Badr, Amr 
AU  - Azeim, Mostafa Abd El 
PY  - 2013
TI  - NEW BINARY PARTICLE SWARM OPTIMIZATION WITH IMMUNITY-CLONAL ALGORITHM
JF  - Journal of Computer Science
VL  - 9
IS  - 11
DO  - 10.3844/jcssp.2013.1534.1542
UR  - https://thescipub.com/abstract/jcssp.2013.1534.1542
AB  - 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.