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《JOURNAL OF THE CHINA RAILWAY SOCIETY》 2000-02
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Study on GATS hybrid algorithms and its convergence

SUN Yan feng, ZHENG Jia qi (School of Traffic & Transport, Northern Jiaotong University, Beijing 100044, China)  
Through deeper contrast and comparison between genetic algorithm and tabu Search, a hybrid optimization algorithm based on a hybrid strategy is suggested. In this algorithm, tabu Search procedure is applied to each individual generated by genetic algorithm in order to improve the results. Finally, we demonstrate the global convergence of this hybrid algorithm by applying the theory of Markov chain.
【Fund】: 国家教委博士点基金! (1 9990 0 0 4 1 1 )
【CateGory Index】: O241
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