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A directed quantile cross-entropy method for 0/1 knapsack problems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 cross-entropy 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.

Original languageEnglish
Title of host publicationICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments
PublisherIEEE Computer Society
Pages319-322
Number of pages4
ISBN (Print)9781424438624
DOIs
StatePublished - 2009
Event9th International Conference on Electronic Measurement and Instruments, ICEMI 2009 - Beijing, China
Duration: 16 Aug 200919 Aug 2009

Publication series

NameICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments

Conference

Conference9th International Conference on Electronic Measurement and Instruments, ICEMI 2009
Country/TerritoryChina
CityBeijing
Period16/08/0919/08/09

Keywords

  • 0/1 knapsack problems
  • Cross-entropy method
  • Optimization algorithm

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