Flowshop Optimization in MATLAB - Genetic Algorithms Approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F02%3A00007164" target="_blank" >RIV/60461373:22340/02:00007164 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Flowshop Optimization in MATLAB - Genetic Algorithms Approach
Original language description
The purpose of this paper is to show that methods of AI, genetic algorithms in particular, are very effective at solving difficult, important real-world problems, specifically the optimization of serial multiproduct batch plant sequencing, and to presentresults of our work in this field. This work deals with the problem of finding sequence of batches that minimizes the makespan, and discusses the application of different genetic algorithms to find such optimum sequence. We have created in Matlab a genetic algorithm, and set the algorithm's parameters, so that the result is well suited to the specific problem type while remaining flexible enough to be applicable to different problems in target group. This paper presents the analysis of performance of different algorithm configurations and parameter values.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MATLAB 2002
ISBN
80-7080-500-5
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
638-647
Publisher name
Humusoft
Place of publication
Praha
Event location
Praha
Event date
Nov 7, 2002
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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