| [1] Reynolds R G, Heether L K. Optimization problem solving with auctions in cultural algorithms[J]. Memetic Computing, 2013, 5: 83-94.
[2] Ali M Z, Reynolds R G. Cultural algorithms: a Tabu search approach for the optimization of engineering design problems [J]. Methodologies and Application, 2014, 18: 1631-1644.
[3] Reynolds R G, Chung C J. Knowledge-based self-adaptation in evolutionary programming using cultural algorithms [C]//IEEE International Conference on Evolutionary Computation, 1997: 71-76.
[4] Elhosseini M A, Haikal A Y. Modified hybrid algorithm for process optimization [J]. Applied Mathematics and Computation, 2014, 232: 1209-1224.
[5] Sun Y, Zhang L B, Gu X H. A hybrid co-evolutionary cultural algorithm based on particle swarm optimization for solving global optimization problems [J]. Neurocomputing, 2012, 98: 76-89.
[6] Soza C, Ricardo L B, Riff M C. Solving timetabling problems using a cultural algorithm[J]. Applied Soft Computing, 2011, 11: 337-344.
[7] 陈思华,陶长琪. 一种新的文化算法框架下知识融合策略[J]. 小型微型计算机系统,2009, 30(7): 2030-2033. Chen S H, Tao C Q. New knowledge integration strategy based on culture algorithms framework[J]. Journal of Chinese Computer System, 2009, 30(7): 2030-2033. (in Chinese)
[8] Guo Y N, Cheng J, Cao Y Y, Lin Y. A novel multi-population cultural algorithm adopting knowledge migration [J]. Soft computing, 2011, 15(5): 897-905.
[9] Haikal A, Hosseni M E. Modified cultural-based genetic algorithm for process optimization [J]. Ain Shams Engineering Journal, 2011, 2: 173-182.
[10] Lu Y L, Zhou J Z, Qin H, Wang Y, Zhang Y C. A hybrid multi-objective cultural algorithm for short-term environmental/economic hydrothermal scheduling [J]. Energy Conversion and Management, 2011, 52: 2121-2134.
[11] 徐庆征,王磊,何宝民,王娜. 基于当前最优解的反向差分进化算法求解函数优化问题[J]. 应用科学学报,2011, 29(3): 308-315. Xu Q Z, Wang L, He B M, Wang N. Opposition-based differrential evolution using the current optimum for function optimization [J]. Journal of Applied Sciences, 2011, 29(3): 308-315. (in Chinese)
[12] Ali M Z, Awad N H. A novel class of niche hybrid cultural algorithms for continuous engineering optimization [J]. Information Sciences, 2014, 267: 158-190.
[13] Ma H Z, Zhang Q J. Research on cultural-based multi-objective particle swarm optimization in image compression quality assessment [J]. Optik, 2013, 124: 957-961.
[14] Zhang R, Zhou J Z, Mo L, Ou-Yang S, Liao X. Economic environmental dispatch using an enhanced multi-objective cultural algorithm [J]. Electric Power Systems Research, 2013, 99: 18-29.
[15] 黎明,尹笑园,陈昊. 元胞空间结构下的文化算法[J]. 应用科学学报,2014, 32(3): 263-273. Li M, Yin X Y, Chen H. Cultural algorithm with cellular space structure [J]. Journal of Applied Sciences, 2014, 32(3): 263-273. (in Chinese)
[16] Daneshyari M, Yen G G. Constrained multiple-swarm particle swarm optimization within a cultural framework [J]. IEEE Transactions on System, Man and Cybemetics, Part A: Systems and Humans, 2012, 42(2): 475-490.
[17] 吴亚丽,徐丽青. 一种基于粒子群算法的改进多目标文化算法[J]. 控制与决策,2012, 8: 1127-1132. Wu Y L, Xu L Q. An improved multi-objective cultural algorithm based on particle swarm optimization [J]. Control and Decision, 2012, 8 : 1127-1132. (in Chinese)
[18] Srinivasan S, Ramakrishnan S. Multi objective optimization of classification rules using cultural algorithms [C]//Procedia Engineering International Confe-rence on Communication Technology and System Design, 2011, 30: 457-465. |
