
MULTI-OPERATOR HYBRID GENETIC ALGORITHM-SIMULATED ANNEALING FOR REENTRANT PERMUTATION FLOW-SHOP SCHEDULING
Author(s) -
Achmad Pratama Rifai,
Putri Adriani Kusumastuti,
Setyo Tri Windras Mara,
Rachmadi Norcahyo,
Siti Zawiah Md Dawal
Publication year - 2021
Publication title -
asean engineering journal
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.135
H-Index - 3
ISSN - 2586-9159
DOI - 10.11113/aej.v11.16875
Subject(s) - reentrancy , simulated annealing , flow shop scheduling , computer science , algorithm , permutation (music) , operator (biology) , genetic algorithm , mathematical optimization , scheduling (production processes) , parallel computing , mathematics , job shop scheduling , physics , biology , embedded system , genetics , routing (electronic design automation) , repressor , acoustics , transcription factor , gene , programming language