摘要
引入个体迁徙和捕猎行为的模拟,改进小生境遗传算法的思想,以加快Pareto最优解的收敛速度和保证解的多样性,使得改进的算法更适合于多目标优化求解。计算实例表明,与SPEA算法相比,所提出的算法更优越。
The paper introduces the idea of simulating the activities of individual migration and predation to improve the niche genetic algo- rithm so as to accelerate the convergence speed of the Pareto-optimal set as well as to maintain the diversity of the solutions, the improved algorithm is more suitable to solve the multi-objective optimization problem. The computation instance shows that compared with the SPEA algorithm,the algorithm proposed in this paper is superior to some extents.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第11期16-19,共4页
Computer Applications and Software
基金
国家自然基金资助(60475019)
