Comparison of modified Downhill Simplex and Differential Evolution with other selected optimization methods used for discrete event simulation models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F15%3A43926853" target="_blank" >RIV/49777513:23210/15:43926853 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.proeng.2015.01.435" target="_blank" >http://dx.doi.org/10.1016/j.proeng.2015.01.435</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.proeng.2015.01.435" target="_blank" >10.1016/j.proeng.2015.01.435</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of modified Downhill Simplex and Differential Evolution with other selected optimization methods used for discrete event simulation models

Popis výsledku v původním jazyce

The paper deals with testing and evaluation of selected heuristic optimization methods - Random Search, Downhill Simplex, Hill Climbing, Tabu Search, Local Search, Simulated Annealing, Evolution Strategy and Differential Evolution. We modified basic methods in such a way that they are applicable for discrete event simulation optimization purposes. The paper is mainly focused on testing Downhill Simplex and Differential Evolution because these methods achieved below-average performances in the initial testing of finding the global optimum. We modified these methods and we compared the modified and previous basic versions of these methods. We proposed different evaluation criteria (criteria express the success in different ways). These criteria use box plot characteristics calculated from the repeated optimization experiments. We have also tested different settings of these optimization methods to analyse their behaviour considering the setup of the optimization method parameters.

Název v anglickém jazyce

Comparison of modified Downhill Simplex and Differential Evolution with other selected optimization methods used for discrete event simulation models

Popis výsledku anglicky

The paper deals with testing and evaluation of selected heuristic optimization methods - Random Search, Downhill Simplex, Hill Climbing, Tabu Search, Local Search, Simulated Annealing, Evolution Strategy and Differential Evolution. We modified basic methods in such a way that they are applicable for discrete event simulation optimization purposes. The paper is mainly focused on testing Downhill Simplex and Differential Evolution because these methods achieved below-average performances in the initial testing of finding the global optimum. We modified these methods and we compared the modified and previous basic versions of these methods. We proposed different evaluation criteria (criteria express the success in different ways). These criteria use box plot characteristics calculated from the repeated optimization experiments. We have also tested different settings of these optimization methods to analyse their behaviour considering the setup of the optimization method parameters.

Druh

D - Stať ve sborníku

CEP obor

JR - Ostatní strojírenství

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Procedia Engineering

ISBN

978-3-901509-99-5

ISSN

1877-7058

e-ISSN

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Počet stran výsledku

9

Strana od-do

807-815

Název nakladatele

DAAAM International Vienna

Místo vydání

Vídeň

Místo konání akce

Vídeň

Datum konání akce

26. 11. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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