A decomposition-based artificial bee colony algorithm for the multi-objective flexible jobshop scheduling problem-Reference-Cited by-同舟云学术

A decomposition-based artificial bee colony algorithm for the multi-objective flexible jobshop scheduling problem

Published:2021-03-09 Issue: Volume: Page:1-15
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Sassi Jamila¹^ORCID,Alaya Ines¹^ORCID,Borne Pierre²,Tagina Moncef¹

Affiliation:

1. ENSI, University of Manouba, Manouba, Tunisia

2. CRIStAL-Centrale Lille, Villeneuve-d'Ascq, France

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2021.1884243

Reference22 articles.

1. Multi-objective artificial bee algorithm based on decomposition by PBI method

2. Routing and scheduling in a flexible job shop by tabu search

3. An Adaptive Scheduling Algorithm for Dynamic Jobs for Dealing with the Flexible Job Shop Scheduling Problem

4. A simple and effective evolutionary algorithm for multiobjective flexible job shop scheduling

5. A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

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