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求解0-1背包问题的混沌二进制乌鸦算法
引用本文:刘雪静,贺毅朝,吴聪聪,李 靓.求解0-1背包问题的混沌二进制乌鸦算法[J].计算机工程与应用,2018,54(10):173-179.
作者姓名:刘雪静  贺毅朝  吴聪聪  李 靓
作者单位:1.河北地质大学 信息工程学院,石家庄 050031 2.中国邮政集团公司 河北省邮政信息技术局,石家庄 050011
摘    要:针对离散空间的最优化问题,提出了二进制乌鸦算法,并在初始解中利用Chebyshev映射产生两种混沌序列优化乌鸦的初始解,保证个体的初始位置在整个搜索空间均匀分布;然后,为快速有效地求解0-1背包问题,引入贪心修复与优化策略处理非正常编码个体,得到基于混沌理论的二进制乌鸦算法(chaotic binary crow search algorithm,CBCSA)。仿真实验表明,CBCSA具有良好的全局寻优能力和收敛速度,能快速求得最优解,且混沌序列的第一映射方式比第二映射方式性能更佳。

关 键 词:乌鸦算法  混沌  贪心策略  Chebyshev映射  0-1背包问题  

Chaotic binary crow search algorithm for 0-1 knapsack problem
LIU Xuejing,HE Yichao,WU Congcong,LI Liang.Chaotic binary crow search algorithm for 0-1 knapsack problem[J].Computer Engineering and Applications,2018,54(10):173-179.
Authors:LIU Xuejing  HE Yichao  WU Congcong  LI Liang
Affiliation:1.College of Information Engineering, Hebei GEO University, Shijiazhuang 050031, China 2.Hebei Post Information Technology Bureau, China Post Group Corporation, Shijiazhuang 050011, China
Abstract:In order to solve the optimization problem in discrete space, a binary crow algorithm is proposed, and two chaotic sequences by using Chebyshev mapping are generated in the initial solution, so the initial positions of the individuals are distributed throughout the search space; the greedy repair and optimization strategy is used to deal with the invalid individual of 0-1 knapsack problem, and Chaotic Binary Crow Search Algorithm(CBCSA) is proposed. The simulation results show that CBCSA has faster speed and better optimization ability than other algorithms for 0-1KP, and the first mapping method is better than the second mapping method.
Keywords:crow search algorithm  chaotic  greedy optimization strategy  Chebyshev mapping  0-1 knapsack problem  
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