Influence of ea control parameters to optimization process of fjssp problem

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F20%3A00007861" target="_blank" >RIV/46747885:24210/20:00007861 - isvavai.cz</a>

Result on the web

<a href="http://www.ijsimm.com/Full_Papers/Fulltext2020/text19-3_519.pdf" target="_blank" >http://www.ijsimm.com/Full_Papers/Fulltext2020/text19-3_519.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2507/IJSIMM19-3-519" target="_blank" >10.2507/IJSIMM19-3-519</a>

Result language

angličtina

Original language name

Influence of ea control parameters to optimization process of fjssp problem

Original language description

The 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. This paper was written with aid of students (František Manlig and Pandiyaraj Gnanasekar).

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

21100 - Other engineering and technologies

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

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

Name of the periodical

International Journal of Simulation Modelling

ISSN

1726-4529

e-ISSN

—

Volume of the periodical

19

Issue of the periodical within the volume

3

Country of publishing house

AT - AUSTRIA

Number of pages

12

Pages from-to

387-398

UT code for WoS article

000571403200003

EID of the result in the Scopus database

2-s2.0-85095845895