{"title":"人工蜂群元启发式优化食品可追溯性","authors":"Saima Dhouib, S. Dhouib, H. Chabchoub","doi":"10.1109/ICADLT.2013.6568495","DOIUrl":null,"url":null,"abstract":"In this paper, an Artificial Bee Colony (ABC) metaheuristic is adapted to minimize the manufacturing batch dispersion in order to optimize traceability in food industry: The ABC is personalized to support the manufacturing batch dispersion. By computer simulations, it is shown that the performance of the ABC is better than the previous metaheuristics.","PeriodicalId":269509,"journal":{"name":"2013 International Conference on Advanced Logistics and Transport","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Artificial bee colony metaheuristic to optimize traceability in food industry\",\"authors\":\"Saima Dhouib, S. Dhouib, H. Chabchoub\",\"doi\":\"10.1109/ICADLT.2013.6568495\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an Artificial Bee Colony (ABC) metaheuristic is adapted to minimize the manufacturing batch dispersion in order to optimize traceability in food industry: The ABC is personalized to support the manufacturing batch dispersion. By computer simulations, it is shown that the performance of the ABC is better than the previous metaheuristics.\",\"PeriodicalId\":269509,\"journal\":{\"name\":\"2013 International Conference on Advanced Logistics and Transport\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Advanced Logistics and Transport\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICADLT.2013.6568495\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Advanced Logistics and Transport","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICADLT.2013.6568495","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial bee colony metaheuristic to optimize traceability in food industry
In this paper, an Artificial Bee Colony (ABC) metaheuristic is adapted to minimize the manufacturing batch dispersion in order to optimize traceability in food industry: The ABC is personalized to support the manufacturing batch dispersion. By computer simulations, it is shown that the performance of the ABC is better than the previous metaheuristics.
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