A Directed Quantile Cross-Entropy Method for 0/1 Knapsack Problems
Cross-entropy method is base on probability density function. It is robust, easy to use. With analysis of advantages and disadvantages of the cross-entropy method, a directed quantile method based on crossentropy is proposed. The main idea of the directed quantile cross-entropy method is to select alterable quantity vectors using for producing a better sample in the next iteration. The convergence speed and search best result of the directed quantile cross-entropy are tested using 0/1 knapsack problems. The experiments show that the search efficiency of the modified cross-entropy method is more significantly improved than quantum-inspired evolutionary algorithm and cross-entropy method.
cross-entropy method optimization algorithm 0/1 knapsack problems.
Libao Deng Liyan Qiao Xiyuan Peng
Department of Automatic Test and Control Harbin Institute of Technology,Harbin,150080,P.O.Box 3033,China
国际会议
2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)
北京
英文
3547-3550
2009-08-16(万方平台首次上网日期,不代表论文的发表时间)