Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions

Daniel Kostrzewa; Henryk Josiński

doi:10.1063/1.4951956

Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions

Future Processing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The expanded Invasive Weed Optimization algorithm (exIWO) is an optimization metaheuristic modelled on the original IWO version inspired by dynamic growth of weeds colony. The authors of the present paper have modified the exIWO algorithm introducing a set of both deterministic and non-deterministic strategies of individuals' selection. The goal of the project was to evaluate the modified exIWO by testing its usefulness for multidimensional numerical functions optimization. The optimized functions: Griewank, Rastrigin, and Rosenbrock are frequently used as benchmarks because of their characteristics.

Original language	English
Title of host publication	International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015
Editors	Theodore E. Simos, Theodore E. Simos, Charalambos Tsitouras, Theodore E. Simos
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735413924
DOIs	https://doi.org/10.1063/1.4951956
Publication status	Published - 8 Jun 2016
Event	International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015 - Rhodes, Greece Duration: 23 Sept 2015 → 29 Sept 2015

Publication series

Name	AIP Conference Proceedings
Volume	1738
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015
Country/Territory	Greece
City	Rhodes
Period	23/09/15 → 29/09/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

evolutionary algorithm
minimization of multidimensional functions
selection of individuals

ASJC Scopus subject areas

General Physics and Astronomy

Access to Document

10.1063/1.4951956

Cite this

Kostrzewa, D., & Josiński, H. (2016). Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions. In T. E. Simos, T. E. Simos, C. Tsitouras, & T. E. Simos (Eds.), International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015 Article 180009 (AIP Conference Proceedings; Vol. 1738). American Institute of Physics Inc.. https://doi.org/10.1063/1.4951956

Kostrzewa, Daniel ; Josiński, Henryk. / Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions. International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015. editor / Theodore E. Simos ; Theodore E. Simos ; Charalambos Tsitouras ; Theodore E. Simos. American Institute of Physics Inc., 2016. (AIP Conference Proceedings).

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abstract = "The expanded Invasive Weed Optimization algorithm (exIWO) is an optimization metaheuristic modelled on the original IWO version inspired by dynamic growth of weeds colony. The authors of the present paper have modified the exIWO algorithm introducing a set of both deterministic and non-deterministic strategies of individuals' selection. The goal of the project was to evaluate the modified exIWO by testing its usefulness for multidimensional numerical functions optimization. The optimized functions: Griewank, Rastrigin, and Rosenbrock are frequently used as benchmarks because of their characteristics.",

keywords = "evolutionary algorithm, minimization of multidimensional functions, selection of individuals",

author = "Daniel Kostrzewa and Henryk Josi{\'n}ski",

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Kostrzewa, D & Josiński, H 2016, Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions. in TE Simos, TE Simos, C Tsitouras & TE Simos (eds), International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015., 180009, AIP Conference Proceedings, vol. 1738, American Institute of Physics Inc., International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015, Rhodes, Greece, 23/09/15. https://doi.org/10.1063/1.4951956

Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions. / Kostrzewa, Daniel ; Josiński, Henryk.
International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015. ed. / Theodore E. Simos; Theodore E. Simos; Charalambos Tsitouras; Theodore E. Simos. American Institute of Physics Inc., 2016. 180009 (AIP Conference Proceedings; Vol. 1738).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - The expanded Invasive Weed Optimization algorithm (exIWO) is an optimization metaheuristic modelled on the original IWO version inspired by dynamic growth of weeds colony. The authors of the present paper have modified the exIWO algorithm introducing a set of both deterministic and non-deterministic strategies of individuals' selection. The goal of the project was to evaluate the modified exIWO by testing its usefulness for multidimensional numerical functions optimization. The optimized functions: Griewank, Rastrigin, and Rosenbrock are frequently used as benchmarks because of their characteristics.

AB - The expanded Invasive Weed Optimization algorithm (exIWO) is an optimization metaheuristic modelled on the original IWO version inspired by dynamic growth of weeds colony. The authors of the present paper have modified the exIWO algorithm introducing a set of both deterministic and non-deterministic strategies of individuals' selection. The goal of the project was to evaluate the modified exIWO by testing its usefulness for multidimensional numerical functions optimization. The optimized functions: Griewank, Rastrigin, and Rosenbrock are frequently used as benchmarks because of their characteristics.

KW - evolutionary algorithm

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KW - selection of individuals

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DO - 10.1063/1.4951956

M3 - Conference contribution

AN - SCOPUS:84984585816

T3 - AIP Conference Proceedings

BT - International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015

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Kostrzewa D , Josiński H. Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions. In Simos TE, Simos TE, Tsitouras C, Simos TE, editors, International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015. American Institute of Physics Inc. 2016. 180009. (AIP Conference Proceedings). doi: 10.1063/1.4951956

Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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