摘要
针对人工蜂群算法在求解复杂多峰问题时容易出现收敛速度慢、开采能力不足的问题,提出了基于转轴法的导向人工蜂群算法(RDABC).在RDABC算法的搜索过程中,利用方向引导信息来指导个体朝更优方向搜索,并对当前最优解执行转轴法局部搜索,以加快收敛速度.在8个标准测试函数上进行了比较实验,实验结果表明RDABC算法的求解精度更高,收敛速度更快.
Artificial bee colony (ABC) algorithm has slow convergence for complex multimodal problems, and is good at exploration but poor at exploitation. The study proposes an improved ABC algorithm called Rosenbroek-directed ABC (RDABC) by adding the Rosenbrock's rotational direction method for the local search tool and directional information to ABC. The performance of the proposed approach was examined on well-known eight benchmark functions. The experimental results show that the proposed approach is more effective and more successful in terms of solution quality, and convergence to global optimum.
出处
《江西理工大学学报》
CAS
2015年第5期98-103,共6页
Journal of Jiangxi University of Science and Technology
基金
国家自然科学基金项目(11401267
11461032)
关键词
人工蜂群算法
方向引导信息
转轴法
局部搜索
artificial bee colony algorithm
directional information
Rosenbrock method
local search technique