摘要
在分析捕鱼策略优化方法不足的基础上,提出了一种改进的模拟捕鱼寻优算法。该算法引入一种新的搜索策略——沿途搜索策略,并利用概率分布理论对渔夫撒网方式进行了改进。实验结果表明,与基本捕鱼策略相比,该算法不仅具有更快的收敛速度、更稳定的性能,还具有更强的脱离局部最优而找到全局最优的特性,因而改进算法是有效和可行的。
An improved optimization algorithm on simulating fishing（ISFOA） is presented based on analyzing the shortcoming of the FSOA.A new strategy named approaching search is introduced,and the probability distribution theory is used to improve the way of cast a net.Compared with the FSOA,the experimental results indicate that the improved algorithm shows an excellent ability of finding the global optimum solution,and it works more quickly and more stably.So the improved optimization algorithm is effective and feasible.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第34期47-50,共4页
Computer Engineering and Applications
基金
广西自然科学基金(No.桂科自0832084)
广西民族大学数学与计算机科学学院科研基金~~
关键词
改进算法
捕鱼策略
沿途搜索策略
概率分布撒网
improved algorithm
fishing strategy
approaching search
probability cast a net
