{"title":"多目标0/1背包问题的表示与重组算子比较","authors":"C. Mumford","doi":"10.1109/CEC.2003.1299756","DOIUrl":null,"url":null,"abstract":"The multiple knapsack problem (MKP) is a popular test-bed for researchers developing new Pareto-based multiobjective evolutionary algorithms. We explore a range of different representations and operators for the MKP, which have been adapted from the single objective case. Results indicate that order-based approaches are superior to binary representations for the problem instances considered here.","PeriodicalId":416243,"journal":{"name":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Comparing representations and recombination operators for the multi-objective 0/1 knapsack problem\",\"authors\":\"C. Mumford\",\"doi\":\"10.1109/CEC.2003.1299756\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The multiple knapsack problem (MKP) is a popular test-bed for researchers developing new Pareto-based multiobjective evolutionary algorithms. We explore a range of different representations and operators for the MKP, which have been adapted from the single objective case. Results indicate that order-based approaches are superior to binary representations for the problem instances considered here.\",\"PeriodicalId\":416243,\"journal\":{\"name\":\"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.2003.1299756\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2003 Congress on Evolutionary Computation, 2003. CEC '03.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2003.1299756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparing representations and recombination operators for the multi-objective 0/1 knapsack problem
The multiple knapsack problem (MKP) is a popular test-bed for researchers developing new Pareto-based multiobjective evolutionary algorithms. We explore a range of different representations and operators for the MKP, which have been adapted from the single objective case. Results indicate that order-based approaches are superior to binary representations for the problem instances considered here.