COMPARISON OF SELECTED OPTIMIZATION METHODS TESTED ON DISCRETE EVENT SIMULATION MODELS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F18%3A43953879" target="_blank" >RIV/49777513:23210/18:43953879 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

COMPARISON OF SELECTED OPTIMIZATION METHODS TESTED ON DISCRETE EVENT SIMULATION MODELS

Popis výsledku v původním jazyce

The paper deals with the comparison of selected optimization methods - Random Search, Hill Climbing, Tabu Search, Local Search, Downhill Simplex, Simulated Annealing, Differential Evolution, Evolution Strategy, and Self-Organizing Migrating Algorithm. The success of the optimization method is evaluated by various proposed evaluation criteria - the success of the method in finding the global optimum, the difference between the optimum and local extremes, the distances of quartiles of possible solutions, and the number of simulation experiments until the optimum is found. Some of the selected optimization methods are modified to improve their behaviour to find the global optimum. We test optimization methods on different discrete event simulation models. These models are focused on different problems in industrial engineering.

Název v anglickém jazyce

COMPARISON OF SELECTED OPTIMIZATION METHODS TESTED ON DISCRETE EVENT SIMULATION MODELS

Popis výsledku anglicky

The paper deals with the comparison of selected optimization methods - Random Search, Hill Climbing, Tabu Search, Local Search, Downhill Simplex, Simulated Annealing, Differential Evolution, Evolution Strategy, and Self-Organizing Migrating Algorithm. The success of the optimization method is evaluated by various proposed evaluation criteria - the success of the method in finding the global optimum, the difference between the optimum and local extremes, the distances of quartiles of possible solutions, and the number of simulation experiments until the optimum is found. Some of the selected optimization methods are modified to improve their behaviour to find the global optimum. We test optimization methods on different discrete event simulation models. These models are focused on different problems in industrial engineering.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

<a href="/cs/project/LO1502" target="_blank" >LO1502: Rozvoj Regionálního technologického institutu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

ADVANCED INDUSTRIAL ENGINEERING - Smart Manufacturing

ISBN

978-83-947909-3-6

Počet stran výsledku

38

Strana od-do

87-124

Počet stran knihy

143

Název nakladatele

Wydawnictwo Fundacji Centrum Nowych Technologii

Místo vydání

Bialsko-Biala

Kód UT WoS kapitoly

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