作者
Mustafa Servet Kıran, Mesut Gündüz, Ömer Kaan Baykan
发表日期
2012/11/1
期刊
Applied Mathematics and Computation
卷号
219
期号
4
页码范围
1515-1521
出版商
Elsevier
简介
This paper presents a novel hybrid algorithm based on particle swarm optimization (PSO) and ant colony optimization (ACO) and called hybrid ant particle optimization algorithm (HAP) to find global minimum. In the proposed method, ACO and PSO work separately at each iteration and produce their solutions. The best solution is selected as the global best of the system and its parameters are used to select the new position of particles and ants at the next iteration. The performance of proposed method is compared with PSO and ACO on the benchmark problems and better quality results are obtained by HAP algorithm.
学术搜索中的文章
MS Kıran, M Gündüz, ÖK Baykan - Applied Mathematics and Computation, 2012