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摘要
A self-adaptive Cauchy evolutionary programming (ACEP) is proposed to solve vessel loading problem. 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 vessel loading problem are carried out. The results show that ACEP can outperform the fast evolutionary programming.
