About: A simplex differential evolution algorithm: Development and applications

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Population-based heuristic optimization methods like differential evolution (DE) depend largely on the generation of the initial population. The initial population not only affects the search for several iterations but often also has an influence on the final solution. The conventional method for generating the initial population is the use of computer-generated pseudo-random numbers, which may not be very effective. In the present study, we have investigated the potential of generating the initial population by integrating the non-linear simplex method of Nelder and Mead with pseudo-random numbers in a DE algorithm. The resulting algorithm named the non-linear simplex DE is tested on a set of 20 benchmark problems with box constraints and two real life problems. Numerical results show that the proposed scheme for generating the random numbers significantly improves the performance of DE in terms of fitness function value, convergence rate and average CPU time. The Author(s) 2011. Population-based heuristic optimization methods like differential evolution (DE) depend largely on the generation of the initial population. The initial population not only affects the search for several iterations but often also has an influence on the final solution. The conventional method for generating the initial population is the use of computer-generated pseudo-random numbers, which may not be very effective. In the present study, we have investigated the potential of generating the initial population by integrating the non-linear simplex method of Nelder and Mead with pseudo-random numbers in a DE algorithm. The resulting algorithm named the non-linear simplex DE is tested on a set of 20 benchmark problems with box constraints and two real life problems. Numerical results show that the proposed scheme for generating the random numbers significantly improves the performance of DE in terms of fitness function value, convergence rate and average CPU time. The Author(s) 2011. (en)
Title	A simplex differential evolution algorithm: Development and applications A simplex differential evolution algorithm: Development and applications (en)
skos:prefLabel	A simplex differential evolution algorithm: Development and applications A simplex differential evolution algorithm: Development and applications (en)
skos:notation	RIV/61989100:27240/12:86092945!RIV15-MSM-27240___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...iv/cisloPeriodika	6
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Abraham Padath, Ajith
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	120614
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/12:86092945
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	stochastic optimization; random numbers; initial population; differential evolution; Crossover (en)
http://linked.open.../riv/klicoveSlovo	differential evolution random numbers stochastic optimization Crossover initial population
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[3100A3D1E367]
http://linked.open...i/riv/nazevZdroje	Transactions of the Institute of Measurement and Control
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	34
http://linked.open...iv/tvurceVysledku	Abraham Padath, Ajith Pant, M. Ali, M.
http://linked.open...ain/vavai/riv/wos	000306556100004
issn	0142-3312
number of pages	14 (xsd:int)
http://bibframe.org/vocab/doi	10.1177/0142331211403032
http://localhost/t...ganizacniJednotka	27240

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