INFLUENCE OF EA CONTROL PARAMETERS TO OPTIMIZATION PROCESS OF FJSSP PROBLEM

Simple item page
dc.contributor.authorKoblasa, František
dc.contributor.authorKrálíková, Růžena
dc.contributor.authorVotrubec, Radek
dc.date.accessioned2020-10-07T07:41:46Z
dc.date.available2020-10-07T07:41:46Z
dc.date.issued2020-01-01
dc.description.abstractThe ability of Evolution Algorithms (EA) to find an optimal solution is usually given by various algorithm operators. Population size and a maximal number of generations are usually set base on available timespan. Setting selection and elimination methods together with crossover probability are usually based on intuition and sometimes are problem specific. That is the reason presented research is focusing on the approach of how to set elimination methods and crossover probability by the statistical approach to eliminate the necessity of experience and intuition. This article describes the scheduling model together with the used EA to solve the Flexible Job Shop Scheduling Problem (FJSSP). Statistical process control methods are applied as there is a designed experiment to find out the statistical significance of each parameter during solving one of the FJSSP hardest problems. Crossover and elimination statistical importance are analysed and suitable levels of them are suggested. The statistical approach as a possible methodology to set the mentioned parameters is then discussed.cs
dc.format.extent12 strancs
dc.identifier.WebofScienceResearcherIDAAN-8320-2020 Koblasa, František
dc.identifier.doi10.2507/IJSIMM19-3-519
dc.identifier.orcid0000-0002-4074-7227 Koblasa, František
dc.identifier.orcid0000-0002-2358-3208 Votrubec, Radek
dc.identifier.urihttps://dspace.tul.cz/handle/15240/157867
dc.identifier.urihttp://www.ijsimm.com/Full_Papers/Fulltext2020/text19-3_519.pdf
dc.language.isocscs
dc.publisherDAAAM INTERNATIONAL VIENNA, TU WIEN, KARLSPLATZ 13-311, VIENNA, A-1040, AUSTRIA
dc.relation.ispartofINTERNATIONAL JOURNAL OF SIMULATION MODELLING
dc.subjectStatistical Process Controlcs
dc.subjectEvolution Algorithmscs
dc.subjectFlexible Job Shop Scheduling Problemcs
dc.subjectParameter Controlcs
dc.titleINFLUENCE OF EA CONTROL PARAMETERS TO OPTIMIZATION PROCESS OF FJSSP PROBLEMcs
local.citation.epage398
local.citation.spage387
local.relation.issue3
local.relation.volume19
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Parameter Control.pdf
Size:
856.36 KB
Format:
Adobe Portable Document Format
Description:
článek
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections