{"title":"生产物流调度优化的多群体二倍体遗传算法研究","authors":"Beilin Liu, Li Ma","doi":"10.1109/WISM.2010.178","DOIUrl":null,"url":null,"abstract":"In this paper, we present a Multi-Colony Diploid Genetic Algorithm (MCDGA) for Flexible Job-Scheduling Problem (FJSP), a simulation model is presented to solve the FJSP. The proposed model has been coded by Matlab which is a special mathematical computation language. After modeling the pending problem, the model is validated by a representative instances based on practical data. The result obtained from the computational study has shown that the proposed approach is a feasible and effective approach for the FJSP.","PeriodicalId":119569,"journal":{"name":"2010 International Conference on Web Information Systems and Mining","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on Multi-colony Diploid Genetic Algorithm for Production Logistics Scheduling Optimization\",\"authors\":\"Beilin Liu, Li Ma\",\"doi\":\"10.1109/WISM.2010.178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a Multi-Colony Diploid Genetic Algorithm (MCDGA) for Flexible Job-Scheduling Problem (FJSP), a simulation model is presented to solve the FJSP. The proposed model has been coded by Matlab which is a special mathematical computation language. After modeling the pending problem, the model is validated by a representative instances based on practical data. The result obtained from the computational study has shown that the proposed approach is a feasible and effective approach for the FJSP.\",\"PeriodicalId\":119569,\"journal\":{\"name\":\"2010 International Conference on Web Information Systems and Mining\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Web Information Systems and Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISM.2010.178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Web Information Systems and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISM.2010.178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Multi-colony Diploid Genetic Algorithm for Production Logistics Scheduling Optimization
In this paper, we present a Multi-Colony Diploid Genetic Algorithm (MCDGA) for Flexible Job-Scheduling Problem (FJSP), a simulation model is presented to solve the FJSP. The proposed model has been coded by Matlab which is a special mathematical computation language. After modeling the pending problem, the model is validated by a representative instances based on practical data. The result obtained from the computational study has shown that the proposed approach is a feasible and effective approach for the FJSP.
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