[1] Tang K S, Man K F, Kwong S, et al. Genetic algorithms and their applications[J]. IEEE Signal Processing Magazine, 1996, 13(6):22-37.
[2] Kennedy J, Eberhart R. Particle swarm optimization[C]//Proc of IEEE Int Conf on Neural Networks. Piscataway:IEEE, 1995:1942-1948.
[3] Dorigo M, Maniezzo V, Colorni A. Ant system:optimization by a colony of cooperating agents[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1996, 26(1):29-41.
[4] Storn R, Price K. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces[J]. Journal of Global Optimization, 1997, 11(4):341-359.
[5] Karaboga D. An idea based on honey bee swarm for numerical optimization[R]. Kayseri:Engineering Faculty Computer Engineering Department, Ereiyes University, 2005.
[6] Karaboga D, Basturk B. On the performance of artificial bee colony (ABC) algorithm[J]. Applied Soft Computing, 2008, 8(1):687-697.
[7] Karaboga D, Akay B. A comparative study of artificial bee colony algorithm[J]. Applied Mathematics and Computation, 2009, 214(1):108-132.
[8] Pholdee N, Bureerat S. Comparative performance of metaheuristic algorithm for mass minimission of trusses with dynamic constraints[J]. Advances in Engineering Software, 2014, 75(9):1-13.
[9] Tasgetiren M F, Pan Q K, Suganthan P N, et al. A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops[J]. Information Sciences, 2011, 181(16):3459-3475.
[10] Lozano M, García-Martínez C, Rodríguez F J, et al. Optimizing network attacks by artificial bee colony[J]. Information Sciences, 2017, 377(1):30-50.
[11] Kiran M S, Babalik A. Improved artificial bee colony algorithm for continuous optimization problems[J]. Journal of Computer and Communications, 2014, 2(04):108-116.
[12] Gao Weifeng, Chan F T S, Huang Lingling, et al. Bare bones artificial bee colony algorithm with parameter adaptation and fitness-based neighborhood[J]. Information Sciences, 2015, 316(18):180-200.
[13] Li Xianneng, Yang Guangfei. Artificial bee colony algorithm with memory[J]. Applied Soft Computing, 2016, 41(4):362-372.
[14] Giurfa M, Zhang Shaowu, Jenett A, et al. The concepts of ‘sameness’ and ‘difference’ in an insect[J]. Nature, 2001, 410(6831):930-933.
[15] Gao Weifeng, Liu Sanyang, Huang Lingling. A novel artificial bee colony algorithm based on modified search equation and orthogonal learning[J]. IEEE Transactions on Cybernetics, 2013, 43(3):1011-1024.
[16] Cui Laizhong, Li Genghui, Lin Qiuzhen, et al. A novel artificial bee colony algorithm with depth-first search framework and elite-guided search equation[J]. Information Sciences, 2016, 367(18):1012-1044.
[17] Derrac J, García S, Molina D, et al. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms[J]. Swarm and Evolutionary Computation, 2011, 1(1):3-18. |