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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...

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Detalles Bibliográficos
Autores principales: Josiński, Henryk, Kostrzewa, Daniel, Michalczuk, Agnieszka, Świtoński, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977471/
https://www.ncbi.nlm.nih.gov/pubmed/24955420
http://dx.doi.org/10.1155/2014/831691
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author Josiński, Henryk
Kostrzewa, Daniel
Michalczuk, Agnieszka
Świtoński, Adam
author_facet Josiński, Henryk
Kostrzewa, Daniel
Michalczuk, Agnieszka
Świtoński, Adam
author_sort Josiński, Henryk
collection PubMed
description 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.
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spelling pubmed-39774712014-06-22 The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems Josiński, Henryk Kostrzewa, Daniel Michalczuk, Agnieszka Świtoński, Adam ScientificWorldJournal Research Article 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. Hindawi Publishing Corporation 2014 2014-03-19 /pmc/articles/PMC3977471/ /pubmed/24955420 http://dx.doi.org/10.1155/2014/831691 Text en Copyright © 2014 Henryk Josiński et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Josiński, Henryk
Kostrzewa, Daniel
Michalczuk, Agnieszka
Świtoński, Adam
The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems
title The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems
title_full The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems
title_fullStr The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems
title_full_unstemmed The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems
title_short The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems
title_sort expanded invasive weed optimization metaheuristic for solving continuous and discrete optimization problems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977471/
https://www.ncbi.nlm.nih.gov/pubmed/24955420
http://dx.doi.org/10.1155/2014/831691
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