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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/831691 |
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| _version_ | 1832558783667109888 |
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| author | Henryk Josiński Daniel Kostrzewa Agnieszka Michalczuk Adam Świtoński |
| author_facet | Henryk Josiński Daniel Kostrzewa Agnieszka Michalczuk Adam Świtoński |
| author_sort | Henryk Josiński |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-27d33a02c7904f4bae994bf3b954b010 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-27d33a02c7904f4bae994bf3b954b0102025-02-03T01:31:35ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/831691831691The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization ProblemsHenryk Josiński0Daniel Kostrzewa1Agnieszka Michalczuk2Adam Świtoński3Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandDepartment of Industrial Informatics, Silesian University of Technology, Krasińskiego 8, 40-019 Katowice, PolandPolish-Japanese Institute of Information Technology, Aleja Legionów 2, 41-902 Bytom, PolandPolish-Japanese Institute of Information Technology, Aleja Legionów 2, 41-902 Bytom, PolandThis 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.http://dx.doi.org/10.1155/2014/831691 |
| spellingShingle | Henryk Josiński Daniel Kostrzewa Agnieszka Michalczuk Adam Świtoński The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems The Scientific World Journal |
| 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 |
| url | http://dx.doi.org/10.1155/2014/831691 |
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