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作 者:CHENG Wenjuan XIONG Yan LIANG Xiaoa
机构地区:[1]School of Computer and Information, Hefei University of Technology, Hefei 230009, China [2]School of Computer Science and Technology, University of Science and Technology of China, He_fei 230027, China [3]Dispatching and Communication Center, Anhui Electric Power Corporation, Hefei 230022, China
出 处:《Chinese Journal of Electronics》2013年第1期51-54,共4页电子学报(英文版)
基 金:This work is supported in part by the National Natural Science Foundation of China (No.51274078, No.61170233, No.61232018, No.61272472, No.61202404, No.61272317) and China Postdoctoral Science Foundation (No.2011MS01060).
摘 要:A self-adaptive Cauchy evolutionary pro- gramming (ACEP) is proposed to solve vessel loading prob-lem. The self-adaptive parameter r of Cauchy mutation is used to change the search step in time and the character of local period parameters k. The analysis on the search step, Markov chain, the operations of selection and competition and the empirical experiments of ACEP in solving the ves-sel loading problem are carried out. The results show that ACEP can outperform the fast evolutionary programming.
关 键 词:Self-adaptive Cauchy evolutionary pro-gramming Markov ehain Fast evolutionary programming.
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