计算机工程与应用2012，Vol.48Issue(13)：48-52,5.DOI:10.3778/j.issn.1002-8331.2012.13.011
改进的人工鱼群算法的参数分析
Parameters analysis of improved artificial fish swarm algorithm
摘要
Abstract
Based on the Artificial Fish Swarm Algorithm(AFSA), this paper proposes the improved AFSA, that the preying, following, swarming behavior is improved, and the vision of artificial fish is dynamically adjusted. The algorithm optimizes function value to conduct simulation studies with different parameters matching. The experiments analyze the algorithm optimization performance under the influence of the main parameters, and get that the appropriate ranges of parameter setting can solve the problem of the low optimization performance and the slow convergence speed of the AFSA. Finally, the improved AFSA is verified based on the different functions to have some advantages such as higher precision of solution, faster execution speed and higher stability.关键词
人工鱼算法/参数值/优化性能Key words
Artificial Fish Swarm Algorithm(AFSA)/ parameter value/ optimization performance分类
信息技术与安全科学引用本文复制引用
吴月萍,杜奕..改进的人工鱼群算法的参数分析[J].计算机工程与应用,2012,48(13):48-52,5.基金项目
上海市自然科学基金(No.11zr1413700) （No.11zr1413700）
上海市教育委员会科研创新一般项目(No.09yz454). （No.09yz454）
