An improved GA and a novel PSO-GA-based hybrid algorithm

作者：Shi XH; Liang YC^*; Lee HP; Lu C; Wang LM

来源：Information Processing Letters, 2005, 93(5): 255-261.

DOI：10.1016/j.ipl.2004.11.003

• algorithms
• genetic algorithms
• particle swarm optimization
• hybrid evolutionary algorithms
• optimization

Inspired by the natural features of the variable size of the population, we present a variable population-size genetic algorithm (VPGA) by introducing the "dying probability" for the individuals and the "war/disease process" for the population. Based on the VPGA and the particle swarm optimization (PSO) algorithms, a novel PSO-GA-based hybrid algorithm (PGHA) is also proposed in this paper. Simulation results show that both VPGA and PGHA are effective for the optimization problems.

• 出版日期2005-3-16
• 单位吉林大学; 吉林财经大学