Energy-Efficient Scheduling for a Job Shop Using Grey Wolf Optimization Algorithm with Double-Searching Mode
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Energy-Efficient Scheduling for a Job Shop Using Grey Wolf Optimization Algorithm with Double-Searching Mode
Authors
Keywords
-
Journal
MATHEMATICAL PROBLEMS IN ENGINEERING
Volume 2018, Issue -, Pages 1-12
Publisher
Hindawi Limited
Online
2018-10-31
DOI
10.1155/2018/8574892
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficient Power Scheduling in Smart Homes Using Hybrid Grey Wolf Differential Evolution Optimization Technique with Real Time and Critical Peak Pricing Schemes
- (2018) Muqaddas Naz et al. Energies
- Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization
- (2018) Rehab Ali Ibrahim et al. EXPERT SYSTEMS WITH APPLICATIONS
- Application of Grey Wolf Optimization for Solving Combinatorial Problems: Job Shop and Flexible Job Shop Scheduling Cases
- (2018) Tianhua Jiang et al. IEEE Access
- A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry
- (2017) Chao Lu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Extended GRASP for the job shop scheduling problem with total weighted tardiness objective
- (2017) C. Bierwirth et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm
- (2017) Chao Lu et al. JOURNAL OF CLEANER PRODUCTION
- 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
- Carbon-efficient scheduling of flow shops by multi-objective optimization
- (2016) Jian-Ya Ding et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- An efficient greedy insertion heuristic for energy-conscious single machine scheduling problem under time-of-use electricity tariffs
- (2016) Ada Che et al. JOURNAL OF CLEANER PRODUCTION
- Solving the energy-efficient job shop scheduling problem: a multi-objective genetic algorithm with enhanced local search for minimizing the total weighted tardiness and total energy consumption
- (2016) Rui Zhang et al. JOURNAL OF CLEANER PRODUCTION
- Binary grey wolf optimization approaches for feature selection
- (2016) E. Emary et al. NEUROCOMPUTING
- A new cuckoo search algorithm with hybrid strategies for flow shop scheduling problems
- (2016) Hui Wang et al. SOFT COMPUTING
- A New MPPT Design Using Grey Wolf Optimization Technique for Photovoltaic System Under Partial Shading Conditions
- (2016) Satyajit Mohanty et al. IEEE Transactions on Sustainable Energy
- A genetic algorithm for energy-efficiency in job-shop scheduling
- (2015) Miguel A. Salido et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Multi-objective genetic algorithm for energy-efficient job shop scheduling
- (2015) Gökan May et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Grey Wolf Optimizer algorithm for the two-stage assembly flow shop scheduling problem with release time
- (2015) G.M. Komaki et al. Journal of Computational Science
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Testing the performance of teaching–learning based optimization (TLBO) algorithm on combinatorial problems: Flow shop and job shop scheduling cases
- (2014) Adil Baykasoğlu et al. INFORMATION SCIENCES
- An effective genetic algorithm for flexible job-shop scheduling with overlapping in operations
- (2014) Yunus Demir et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Corrigendum to “A simulated annealing algorithm based on block properties for the job shop scheduling problem with total weighted tardiness objective” [Computers and Operations Research 38 (2011) 854–867]
- (2013) Rui Zhang et al. COMPUTERS & OPERATIONS RESEARCH
- Optimizing the production scheduling of a single machine to minimize total energy consumption costs
- (2013) Fadi Shrouf et al. JOURNAL OF CLEANER PRODUCTION
- A hybrid artificial bee colony algorithm for the job shop scheduling problem
- (2012) Rui Zhang et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- A new hybrid multi-objective Pareto archive PSO algorithm for a bi-objective job shop scheduling problem
- (2011) R. Tavakkoli-Moghaddam et al. EXPERT SYSTEMS WITH APPLICATIONS
- Single-Machine Sustainable Production Planning to Minimize Total Energy Consumption and Total Completion Time Using a Multiple Objective Genetic Algorithm
- (2011) Mehmet Bayram Yildirim et al. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now