[1]XIONG W, ZENG B. Studies on some bionic optimization algorithms[J]. Computer Technology and Development, 2010,20(3):9-12,16. (熊伟平, 曾碧卿. 几种仿生优化算法的比较研究[J]. 计算机技术与发展, 2010,20(3):9-12,16.)
[2]DORIGO M, GAMBARDELLA L M. Ant colony system: a cooperative learning approach to the traveling salesman problem[J]. IEEE Transactions on Evolutionary Computation, 1997,1(1):53-66.
[3]HUANG T, SHENG J, XU H, et al. Improved simplified particle swarm optimization[J]. Computer Simulation, 2013, 30(2): 327-330, 335. (黄太安, 生佳根, 徐红洋, 等. 一种改进的简化粒子群算法[J]. 计算机仿真, 2013, 30(2):327-330, 335.)
[4]WANG P. Overview of artificial fish swarm algorithm[J]. Journal of Civil Aviation Flight University of China, 2013, 24(4):22-26.(王培崇. 人工鱼群算法研究综述[J]. 中国民航飞行学院学报, 2013, 24(4): 22-26.)
[5]ZHANG C, ZHENG J, WANG X. Overview of research on bee colony algorithms[J]. Application Research of Computers, 2011, 28(9): 3201-3205, 3214. (张超群, 郑建国, 王翔. 蜂群算法研究综述[J]. 计算机应用研究, 2011, 28(9): 3201-3205, 3214.)
[6]EUSUFF M M, LANSEY K E. Optimization of water distribution network design using shuffled frog leaping algorithm[J]. Journal of Water Resources Planning and Management, 2003, 129(3): 210-225.
[7]CHEN H, ZHOU Y, HU K. Multi-colony bacteria foraging optimization with cell-to-cell communication for RFID network planning[J]. Applied Soft Computing, 2010, 10: 539-547.
[8]KRISHNANAND K N, GHOSE D. Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions[J]. Swarm Intelligence, 2009, 3(7): 87-124.
[9]LI Z, WANG J, GUO C. A new method of BP network based on particle swarm optimization and simulation test[J]. Acta Electronica Sinica, 2008, 36(11): 2224-2228.(李祚泳, 汪嘉杨, 郭淳. PSO算法优化BP网络的新方法及仿真实验[J]. 电子学报, 2008, 36(11): 2224-2228.)
[10]KARABOGA D, AKAY B. A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems[J]. Applied Soft Computing, 2011, 11(3): 3021-3031.
[11]WANG X, XIAO W, HE C. Application of improved shuffled frog leaping algorithm to resolve multi-objective optimization problem[J]. Computer Engineering and Applications, 2012, 48(30): 233-238.王晓笛, 肖伟, 何灿. 改进的蛙跳算法在多目标优化问题中的应用[J]. 计算机工程与应用, 2012, 48(30): 233-238.
[12]GUO C, XIE J, LIU J, et al. Monkey-king genetic algorithm for continuous nonlinear programming problem [J]. Journal of Jiangsu University: Natural Science, 2002, 23(4): 87-90. (郭晨海, 谢俊, 刘军, 等. 连续非线性规划的猴王遗传算法[J]. 江苏大学学报:自然科学版, 2002, 23(4): 87-90.)
[13]LI Y, LIU H, ZHANG S. Improving monkey king genetic algorithm[J]. Journal of Nanjing Normal University: Engineering and Technology, 2004, 4(3): 53-56. (李宇中, 刘红星, 张胜. 猴王遗传算法的改进[J]. 南京师范大学学报:工程技术版, 2004, 4(3): 53-56.)
[14]LI Z, ZHANG Z, WANG J, et al. Bee genetic algorithm based on immune evolution and chaotic mutation[J]. Applied Mechanics and Materials, 2012,198/199: 1523-1526.
[15]LI Z, ZHANG Z, YU C. Shuffled frog leaping algorithm based on immune evolutionary particle swarm optimization[J]. , 2011, 31(12): 3288-3291.(李祚泳, 张正健, 余春雪. 基于免疫进化的粒子群混洗蛙跳算法[J]. 计算机应用, 2011, 31(12): 3288-3291.) |