{"title":"用多目标路径链接算法求解双目标流水车间问题","authors":"Rong-Qiang Zeng, Ming-Sheng Shang","doi":"10.1109/ICNC.2014.6975859","DOIUrl":null,"url":null,"abstract":"This paper presents a multi-objective path relinking algorithm for solving bi-objective flow shop problem, where we aim to minimize the total completion time and total tardiness. In this algorithm, we integrate path relinking techniques into hypervolume-based multi-objective optimization. We propose a method to construct a path and select a set of non-dominated solutions from the path for further improvements. Experimental results show the proposed algorithm is very effective in comparison with the original multi-objective local search algorithms.","PeriodicalId":208779,"journal":{"name":"2014 10th International Conference on Natural Computation (ICNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solving bi-objective flow shop problem with multi-objective path relinking algorithm\",\"authors\":\"Rong-Qiang Zeng, Ming-Sheng Shang\",\"doi\":\"10.1109/ICNC.2014.6975859\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a multi-objective path relinking algorithm for solving bi-objective flow shop problem, where we aim to minimize the total completion time and total tardiness. In this algorithm, we integrate path relinking techniques into hypervolume-based multi-objective optimization. We propose a method to construct a path and select a set of non-dominated solutions from the path for further improvements. Experimental results show the proposed algorithm is very effective in comparison with the original multi-objective local search algorithms.\",\"PeriodicalId\":208779,\"journal\":{\"name\":\"2014 10th International Conference on Natural Computation (ICNC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 10th International Conference on Natural Computation (ICNC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNC.2014.6975859\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 10th International Conference on Natural Computation (ICNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2014.6975859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Solving bi-objective flow shop problem with multi-objective path relinking algorithm
This paper presents a multi-objective path relinking algorithm for solving bi-objective flow shop problem, where we aim to minimize the total completion time and total tardiness. In this algorithm, we integrate path relinking techniques into hypervolume-based multi-objective optimization. We propose a method to construct a path and select a set of non-dominated solutions from the path for further improvements. Experimental results show the proposed algorithm is very effective in comparison with the original multi-objective local search algorithms.