z-logo
open-access-imgOpen Access
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom