An improved multi-objective whale optimization algorithm for the hybrid flow shop scheduling problem considering device dynamic reconfiguration processes
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An improved multi-objective whale optimization algorithm for the hybrid flow shop scheduling problem considering device dynamic reconfiguration processes
Authors
Keywords
Device dynamic reconfiguration processes (DRP), Multi-objective optimization, MOHFSP-DRP, Improved multi-objective whale optimization algorithm (IMOWOA), Practical application
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 174, Issue -, Pages 114793
Publisher
Elsevier BV
Online
2021-03-02
DOI
10.1016/j.eswa.2021.114793
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A hybrid biogeography-based optimization with variable neighborhood search mechanism for no-wait flow shop scheduling problem
- (2019) Fuqing Zhao et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel methodology for optimal single mobile robot scheduling using whale optimization algorithm
- (2019) Milica Petrović et al. APPLIED SOFT COMPUTING
- Big data driven Hierarchical Digital Twin Predictive Remanufacturing paradigm: Architecture, control mechanism, application scenario and benefits
- (2019) Yankai Wang et al. JOURNAL OF CLEANER PRODUCTION
- A flexible job shop scheduling approach with operators for coal export terminals – A mature approach
- (2019) Robert L. Burdett et al. COMPUTERS & OPERATIONS RESEARCH
- Energy-efficient flexible flow shop scheduling with worker flexibility
- (2019) Guiliang Gong et al. EXPERT SYSTEMS WITH APPLICATIONS
- Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm
- (2019) Yong Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- An integrated approach for scheduling health care activities in a hospital
- (2018) Robert L. Burdett et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Performance Optimization of Flywheel Motor by Using NSGA-2 and AKMMP
- (2018) Jian-Guo Bu et al. IEEE TRANSACTIONS ON MAGNETICS
- The Effect of Worker Learning on Scheduling Jobs in a Hybrid Flow Shop: A Bi-Objective Approach
- (2018) Farzad Pargar et al. Journal of Systems Science and Systems Engineering
- A flexible job shop scheduling approach with operators for coal export terminals
- (2018) Robert L. Burdett et al. COMPUTERS & OPERATIONS RESEARCH
- An effective multi-objective discrete grey wolf optimizer for a real-world scheduling problem in welding production
- (2016) Chao Lu et al. ADVANCES IN ENGINEERING SOFTWARE
- Energy-efficient dynamic scheduling for a flexible flow shop using an improved particle swarm optimization
- (2016) Dunbing Tang et al. COMPUTERS IN INDUSTRY
- A shuffled frog-leaping algorithm for hybrid flow shop scheduling with two agents
- (2015) Deming Lei et al. EXPERT SYSTEMS WITH APPLICATIONS
- An evolutionary clustering search for the no-wait flow shop problem with sequence dependent setup times
- (2013) Marcelo Seido Nagano et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel hybrid meta-heuristic algorithm for a no-wait flexible flow shop scheduling problem with sequence dependent setup times
- (2012) F. Jolai et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
- (2010) Johannes Bader et al. EVOLUTIONARY COMPUTATION
- New multi-objective method to solve reentrant hybrid flow shop scheduling problem
- (2009) Frédéric Dugardin et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A multi-phase covering Pareto-optimal front method to multi-objective scheduling in a realistic hybrid flowshop using a hybrid metaheuristic
- (2009) J. Behnamian et al. EXPERT SYSTEMS WITH APPLICATIONS
- Minimizing total tardiness on a single machine with controllable processing times
- (2008) Chao-Tang Tseng et al. COMPUTERS & OPERATIONS RESEARCH
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started