The expanded invasive weed optimization metaheuristic for solving continuous and discrete optimization problems.
This paper introduces an expanded version of the Invasive Weed Optimization algorithm (exIWO) distinguished by the hybrid strategy of the search space exploration proposed by the authors. The algorithm is evaluated by solving three well-known optimization problems: minimization of numerical function...
| Publicado en: | Scientific World Journal pp. 831691 - 831692 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103830480&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103830480 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 103830480 103830480 NLM24955420 2012628228 10.1155/2014/831691 NLM24955420 PMC3977471 103830480 ppf: 831691 ppct: 1 formats: tig: atl: The expanded invasive weed optimization metaheuristic for solving continuous and discrete optimization problems. aug: au: Josinski, Henryk Kostrzewa, Daniel Michalczuk, Agnieszka Switonski, Adam Josiński, Henryk Switoński, Adam affil: Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland sug: subj: Algorithms Problem Solving ab: This paper introduces an expanded version of the Invasive Weed Optimization algorithm (exIWO) distinguished by the hybrid strategy of the search space exploration proposed by the authors. The algorithm is evaluated by solving three well-known optimization problems: minimization of numerical functions, feature selection, and the Mona Lisa TSP Challenge as one of the instances of the traveling salesman problem. The achieved results are compared with analogous outcomes produced by other optimization methods reported in the literature. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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