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

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015
Redaktorzy	Theodore E. Simos, Theodore E. Simos, Charalambos Tsitouras, Theodore E. Simos
Wydawca	American Institute of Physics Inc.
ISBN (elektroniczny)	9780735413924
Identyfikatory DOI	https://doi.org/10.1063/1.4951956
Status publikacji	Opublikowano - 8 cze 2016
Wydarzenie	International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015 - Rhodes, Grecja Czas trwania: 23 wrz 2015 → 29 wrz 2015

Seria publikacji

Nazwa	AIP Conference Proceedings
Tom	1738
ISSN (drukowany)	0094-243X
ISSN (elektroniczny)	1551-7616

Konferencja

Konferencja	International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015
Kraj/Terytorium	Grecja
Miejscowość	Rhodes
Okres	23/09/15 → 29/09/15

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 15 Życie na lądzie

Obszary tematyczne ASJC Scopus

Ogólna fizyka i astronomia

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10.1063/1.4951956

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Cytowanie

Kostrzewa, D., & Josiński, H. (2016). Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions. W T. E. Simos, T. E. Simos, C. Tsitouras, & T. E. Simos (Red.), International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015 Artykułu 180009 (AIP Conference Proceedings; Tom 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. redaktor / Theodore E. Simos ; Theodore E. Simos ; Charalambos Tsitouras ; Theodore E. Simos. American Institute of Physics Inc., 2016. (AIP Conference Proceedings).

@inproceedings{4aff75c8dbfe496dbab7dc4e8e6ecc1b,

title = "Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions",

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",

note = "Publisher Copyright: {\textcopyright} 2016 Author(s).; International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015 ; Conference date: 23-09-2015 Through 29-09-2015",

year = "2016",

month = jun,

day = "8",

doi = "10.1063/1.4951956",

language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "Simos, \{Theodore E.\} and Simos, \{Theodore E.\} and Charalambos Tsitouras and Simos, \{Theodore E.\}",

booktitle = "International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015",

address = "United States",

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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. w TE Simos, TE Simos, C Tsitouras & TE Simos (red), International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015., 180009, AIP Conference Proceedings, tom 1738, American Institute of Physics Inc., International Conference of Numerical Analysis and Applied Mathematics 2015, ICNAAM 2015, Rhodes, Grecja, 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. red. / Theodore E. Simos; Theodore E. Simos; Charalambos Tsitouras; Theodore E. Simos. American Institute of Physics Inc., 2016. 180009 (AIP Conference Proceedings; Tom 1738).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

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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.

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KW - selection of individuals

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DO - 10.1063/1.4951956

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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. W Simos TE, Simos TE, Tsitouras C, Simos TE, redaktorzy, 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

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

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Cytowanie