Application of Genetic Algorithms to Chemical Flowshop Sequencing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F01%3A00003855" target="_blank" >RIV/60461373:22340/01:00003855 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Application of Genetic Algorithms to Chemical Flowshop Sequencing

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, discusses the application of different genetic algorithms to find such optimum sequence, and in addition proposes new crossover operator that offers improvement over older ones.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BC - Theory and management systems

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2001

Confidentiality

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

Name of the periodical

Chem.Eng.Technol.

ISSN

0930-7516

e-ISSN

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Volume of the periodical

24

Issue of the periodical within the volume

4

Country of publishing house

DE - GERMANY

Number of pages

7

Pages from-to

327-333

UT code for WoS article

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EID of the result in the Scopus database

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