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《Journal of Anshan University of Science and Technology》 2005-06
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Application of a modified artificial immune algorithm to fuzzy flow-shop scheduling problem

DU Guang-yu,WANG Li(School of Electronic and Information Engineering,Anshan University of Science and Technology,Anshan 114044,China)  
The principle of genetic algorithm and artificial immune algorithm were introduced.In order to overcome some drawbacks of genetic algorithm and artificial immune algorithm,a modified artificial immune algorithm was proposed,the algorithm applies structural similitude matrix to get rid of similitude antibody before processing affinity calculation,which greatly reduces operation quantity.With this modified artificial immune algorithm,the process was optimized,the flow-shop earliness/tardiness scheduling problem with uncertain processing time and distinct due window was researched.Finally,the simulation results have shown the efficiency of the propose algorithm.
【CateGory Index】: O221
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