收稿日期: 2009-01-05
修回日期: 2009-09-03
网络出版日期: 2010-01-15
基金资助
国家自然科学基金项目(60774098)资助
A novel fish shoal algorithm based on sensing zones
Received date: 2009-01-05
Revised date: 2009-09-03
Online published: 2010-01-15
冯春时 , 丛爽 . 基于感知范围的鱼群优化算法[J]. 中国科学院大学学报, 2010 , 27(1) : 83 -89 . DOI: 10.7523/j.issn.2095-6134.2010.1.012
The algorithm simulates the movement of fish shoal in the space. According to the Euclidean distance, the neighborhood of the fish individual is divided into attraction zone, repulsion zone, and neutral zone. Furthermore, the movement trend to the food source is considered. The neighborhood factors were determined by means of the experiments. The experiments were carried out on the benchmark functions for comparison of the Novel Fish-shoal Algorithm with the Artificial Fish-swarm Algorithm. The search step size was studied experimentally. Finally a linear change weight factor strategy was proposed and the experimental results with 13 test functions verified that the proposed strategy can further improve the performance of the algorithm.
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