计算机科学与探索Issue(8)：1010-1017,8.DOI:10.3778/j.issn.1673-9418.1409067
带反方向视角和二项交叉的布谷鸟搜索算法
Cuckoo Search Algorithm with Reverse Direction Angle and Binomial Crossover
摘要
Abstract
Cuckoo search algorithm is a new nature-inspired optimization technique, which uses Lévy Flights random walk and Biased random walk to search new solutions iteratively. In Lévy Flights random walk, all individuals search new solutions around the best solution obtained so far. This may easy make the population converge to the best one. To avoid converging to the current optimal solution, this paper uses the reverse direction angle strategy to search new solutions probably, and proposes a cuckoo search algorithm with reverse direction angle and binomial crossover, called RBCS. In RBCS, a binomial crossover strategy is employed to enhance the search ability of Biased random walk. Compared with the standard cuckoo search algorithm, the experimental results show that the proposed strategies can improve the convergence speed and the solution quality of the algorithm for the continuous function optimization problems effectively. Compared with other improved cuckoo search algorithms and other evolutionary algorithms, the experimental results reveal that the proposed algorithm is competitive for the continuous function optimization problems.关键词
布谷鸟搜索算法/反方向视角/二项交叉/函数优化问题Key words
cuckoo search algorithm/reverse direction angle/binomial crossover/function optimization problems分类
信息技术与安全科学引用本文复制引用
梁忠,林要华,周术诚..带反方向视角和二项交叉的布谷鸟搜索算法[J].计算机科学与探索,2015,(8):1010-1017,8.基金项目
The Natural Science Foundation of Fujian Province of China under Grant No.2013J01216(福建省自然科学基金) （福建省自然科学基金）
