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Genetic algorithm application for permutation flow shop scheduling problems
Author(s) -
Oğuzhan Ahmet Arık
Publication year - 2022
Publication title -
gazi university journal of science :
Language(s) - English
Resource type - Journals
ISSN - 2147-1762
DOI - 10.35378/gujs.682388
Subject(s) - job shop scheduling , flow shop scheduling , mathematical optimization , crossover , permutation (music) , computer science , genetic algorithm , scheduling (production processes) , algorithm , mathematics , artificial intelligence , routing (electronic design automation) , physics , acoustics , computer network

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