{"title":"A Brief Survey on Intelligent Swarm-Based Algorithms for Solving Optimization Problems","authors":"S. M. Lim, K. Y. Leong","doi":"10.5772/INTECHOPEN.76979","DOIUrl":null,"url":null,"abstract":"This chapter presents an overview of optimization techniques followed by a brief survey on several swarm-based natural inspired algorithms which were introduced in the last decade. These techniques were inspired by the natural processes of plants, foraging behaviors of insects and social behaviors of animals. These swam intelligent methods have been tested on various standard benchmark problems and are capable in solving a wide range of optimization issues including stochastic , robust and dynamic problems.","PeriodicalId":408183,"journal":{"name":"Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization","volume":"185 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5772/INTECHOPEN.76979","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
This chapter presents an overview of optimization techniques followed by a brief survey on several swarm-based natural inspired algorithms which were introduced in the last decade. These techniques were inspired by the natural processes of plants, foraging behaviors of insects and social behaviors of animals. These swam intelligent methods have been tested on various standard benchmark problems and are capable in solving a wide range of optimization issues including stochastic , robust and dynamic problems.