{"title":"土地利用结构多目标粒子群优化","authors":"H. Hai","doi":"10.1109/CINC.2010.5643853","DOIUrl":null,"url":null,"abstract":"Based on the introduction of particle swarm optimization algorithm, this paper applies it to the land use structure optimization. The objective functions, variables and restraint functions are constructed for land use structure optimization. The corresponding software is also developed. And land use structure optimization for HeChuan District of ChongQing City is taken as the example for the case study. The satisfactory optimization result proves that application of the particle swarm optimization algorithm for land use structure is feasible and effective, which supplies a new idea and method.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi-objective particle swarm optimization for land use structure\",\"authors\":\"H. Hai\",\"doi\":\"10.1109/CINC.2010.5643853\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the introduction of particle swarm optimization algorithm, this paper applies it to the land use structure optimization. The objective functions, variables and restraint functions are constructed for land use structure optimization. The corresponding software is also developed. And land use structure optimization for HeChuan District of ChongQing City is taken as the example for the case study. The satisfactory optimization result proves that application of the particle swarm optimization algorithm for land use structure is feasible and effective, which supplies a new idea and method.\",\"PeriodicalId\":227004,\"journal\":{\"name\":\"2010 Second International Conference on Computational Intelligence and Natural Computing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computational Intelligence and Natural Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CINC.2010.5643853\",\"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 Second International Conference on Computational Intelligence and Natural Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINC.2010.5643853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-objective particle swarm optimization for land use structure
Based on the introduction of particle swarm optimization algorithm, this paper applies it to the land use structure optimization. The objective functions, variables and restraint functions are constructed for land use structure optimization. The corresponding software is also developed. And land use structure optimization for HeChuan District of ChongQing City is taken as the example for the case study. The satisfactory optimization result proves that application of the particle swarm optimization algorithm for land use structure is feasible and effective, which supplies a new idea and method.