{"title":"基于遗传算法的顺序拾取机印刷电路板装配优化的自组织方法","authors":"Gang Peng, Kehan Zeng","doi":"10.1109/PDCAT.2013.27","DOIUrl":null,"url":null,"abstract":"A novel ad-hoc approach named Distance Score with Weights Selection (DSWS) is proposed to select suitable slots for loading feeders. A genetic algorithm is proposed to search the optimal solutions of arranging feeders to selected slots and sequencing the placement positions. The numerical results show the effectiveness and efficiency of the proposed approach and its advantages over existing benchmark algorithms.","PeriodicalId":187974,"journal":{"name":"2013 International Conference on Parallel and Distributed Computing, Applications and Technologies","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Ad-Hoc Method with Genetic Algorithm for Printed Circuit Board Assembly Optimization on the Sequential Pick-and-Place Machine\",\"authors\":\"Gang Peng, Kehan Zeng\",\"doi\":\"10.1109/PDCAT.2013.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel ad-hoc approach named Distance Score with Weights Selection (DSWS) is proposed to select suitable slots for loading feeders. A genetic algorithm is proposed to search the optimal solutions of arranging feeders to selected slots and sequencing the placement positions. The numerical results show the effectiveness and efficiency of the proposed approach and its advantages over existing benchmark algorithms.\",\"PeriodicalId\":187974,\"journal\":{\"name\":\"2013 International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"volume\":\"96 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Parallel and Distributed Computing, Applications and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDCAT.2013.27\",\"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 Parallel and Distributed Computing, Applications and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDCAT.2013.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Ad-Hoc Method with Genetic Algorithm for Printed Circuit Board Assembly Optimization on the Sequential Pick-and-Place Machine
A novel ad-hoc approach named Distance Score with Weights Selection (DSWS) is proposed to select suitable slots for loading feeders. A genetic algorithm is proposed to search the optimal solutions of arranging feeders to selected slots and sequencing the placement positions. The numerical results show the effectiveness and efficiency of the proposed approach and its advantages over existing benchmark algorithms.
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