z-logo
open-access-imgOpen Access
A Multi Objective Evolutionary Algorithm based on Decomposition for a Flow Shop Scheduling Problem in the Context of Industry 4.0
Author(s) -
Diego Gabriel Rossit,
Sergio Nesmachnow,
Daniel Alejandro Rossit
Publication year - 2022
Publication title -
international journal of mathematical, engineering and management sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 10
ISSN - 2455-7749
DOI - 10.33889/ijmems.2022.7.4.029
Subject(s) - personalization , computer science , evolutionary algorithm , scheduling (production processes) , flow shop scheduling , decomposition , metaheuristic , job shop scheduling , context (archaeology) , baseline (sea) , mathematical optimization , industrial engineering , operations research , algorithm , artificial intelligence , engineering , mathematics , oceanography , geology , ecology , paleontology , schedule , world wide web , biology , operating system

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