A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering
Reference66 articles.
1. A survey on the Artificial Bee Colony algorithm variants for binary, integer and mixed integer programming problems;Akay;Appl. Soft Comput.,2021
2. An effective iterated local search algorithm for the distributed no-wait flowshop scheduling problem;Avci;Eng. Appl. Artif. Intell.,2023
3. A novel chemical reaction optimization for the distributed permutation flowshop scheduling problem with makespan criterion;Bargaoui;Comput. Ind. Eng.,2017
4. Artificial bee colony algorithm for solving multi-objective distributed fuzzy permutation flow shop problem;Baysal;J. Intell. Fuzzy Syst.,2022
5. An energy-aware scheduling algorithm under maximum power consumption constraints;Chou;J. Manuf. Syst.,2020
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