[1]金叶,孙越泓,王加翠,等.基于单纯形的改进精英人工蜂群算法[J].郑州大学学报(工学版),2018,39(06):36-42. 　An Improved Multi-elitist Artificial Bee Colony Algorithm Based on Nelder-Mead Simplex Method[J].Journal of Zhengzhou University (Engineering Science),2018,39(06):36-42. 点击复制 基于单纯形的改进精英人工蜂群算法() 分享到： var jiathis_config = { data_track_clickback: true };

39

2018年06期

36-42

2018-10-24

文章信息/Info

Title:
An Improved Multi-elitist Artificial Bee Colony Algorithm Based on Nelder-Mead Simplex Method

A

Abstract:
There were some problems in the Artificial Bee Colony (ABC) algorithm, such as the slow convergence speed, low solution precision and easy to fall in local optimum. Inspired by particle swarm optimization algorithm, multi-elitist artificial bee colony algorithm for real-parameter optimization use of global best solution and an elitist randomly selected from the elitist set were adopted to enhance the exploitation of the global best solution. In this paper, we the elitist to guide the nectar search during the employed bee process was introduced. And the selection probability formula of food source was reconstructed by using the quality of food source. In the onlooker bee stage, the best food source was selected to guide the swarm to enhance the exploitation of the global best solution, and the and the neighbor food source was selected to be the optimally directional choice. As the same time, a simplex method was used on elitist solution set to balance the exploration and exploitation ability of the algorithm. The numerical experiment results showed that the proposed algorithm had higher searching precision and faster convergence speed.