{"title":"混合粒子群优化算法：解决交通网络设计问题的 FROG LEAPING 概念","authors":"Navid Afkar, A. Babazadeh","doi":"10.1109/EIT.2015.7293437","DOIUrl":null,"url":null,"abstract":"Transportation Network Design Problem (TNDP) is an important problem in transportation. Various approaches have been taken to solve TNDP up to now. Particle Swarm Optimization (PSO) is one of the metaheuristic search techniques to find the solution. This paper attempts to hybridize PSO algorithm with the frog leaping concept. The benefits of applying the hybridized algorithm have been tested on the Sioux Falls network which had been used in the previous efforts.","PeriodicalId":415614,"journal":{"name":"2015 IEEE International Conference on Electro/Information Technology (EIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Hybridized Particle Swarm Optimization algorithm: FROG LEAPING concept for solving transportation network design problem\",\"authors\":\"Navid Afkar, A. Babazadeh\",\"doi\":\"10.1109/EIT.2015.7293437\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Transportation Network Design Problem (TNDP) is an important problem in transportation. Various approaches have been taken to solve TNDP up to now. Particle Swarm Optimization (PSO) is one of the metaheuristic search techniques to find the solution. This paper attempts to hybridize PSO algorithm with the frog leaping concept. The benefits of applying the hybridized algorithm have been tested on the Sioux Falls network which had been used in the previous efforts.\",\"PeriodicalId\":415614,\"journal\":{\"name\":\"2015 IEEE International Conference on Electro/Information Technology (EIT)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Electro/Information Technology (EIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIT.2015.7293437\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Electro/Information Technology (EIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIT.2015.7293437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybridized Particle Swarm Optimization algorithm: FROG LEAPING concept for solving transportation network design problem
Transportation Network Design Problem (TNDP) is an important problem in transportation. Various approaches have been taken to solve TNDP up to now. Particle Swarm Optimization (PSO) is one of the metaheuristic search techniques to find the solution. This paper attempts to hybridize PSO algorithm with the frog leaping concept. The benefits of applying the hybridized algorithm have been tested on the Sioux Falls network which had been used in the previous efforts.
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