An Effective Multi-population Grey Wolf Optimizer based on Reinforcement Learning for Flow Shop Scheduling Problem with Multi-machine Collaboration
出版年份 2021 全文链接
标题
An Effective Multi-population Grey Wolf Optimizer based on Reinforcement Learning for Flow Shop Scheduling Problem with Multi-machine Collaboration
作者
关键词
Scheduling, Grey Wolf Optimizer (GWO), Multi-machine Collaboration, Reinforcement learning (RL), Multi-Population
出版物
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 162, Issue -, Pages 107738
出版商
Elsevier BV
发表日期
2021-10-19
DOI
10.1016/j.cie.2021.107738
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- An efficient evolutionary grey wolf optimizer for multi-objective flexible job shop scheduling problem with hierarchical job precedence constraints
- (2020) Zhenwei Zhu et al. COMPUTERS & INDUSTRIAL ENGINEERING
- A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem
- (2020) Jan Gmys et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A dynamic ant-colony genetic algorithm for cloud service composition optimization
- (2019) Yefeng Yang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Adaptive and large-scale service composition based on deep reinforcement learning
- (2019) Hongbing Wang et al. KNOWLEDGE-BASED SYSTEMS
- A Deep Belief Network Combined with Modified Grey Wolf Optimization Algorithm for PM2.5 Concentration Prediction
- (2019) Yin Xing et al. Applied Sciences-Basel
- Generalised accelerations for insertion-based heuristics in permutation flowshop scheduling
- (2019) Victor Fernandez-Viagas et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- An Improved Grey Wolf Optimizer Algorithm for Energy-Aware Service Composition in Cloud Manufacturing
- (2019) Yefeng Yang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing
- (2019) Yefeng Yang et al. APPLIED SOFT COMPUTING
- Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy
- (2019) Zhennao Cai et al. EXPERT SYSTEMS WITH APPLICATIONS
- Tree Growth Algorithm (TGA): A novel approach for solving optimization problems
- (2018) Armin Cheraghalipour et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing
- (2018) Jiajun Zhou et al. INFORMATION SCIENCES
- Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions
- (2018) Jun-qing Li et al. JOURNAL OF CLEANER PRODUCTION
- A novel hybrid multi-objective artificial bee colony algorithm for blocking lot-streaming flow shop scheduling problems
- (2018) Dunwei Gong et al. KNOWLEDGE-BASED SYSTEMS
- An improved hybrid grey wolf optimization algorithm
- (2018) Zhi-jun Teng et al. SOFT COMPUTING
- Optimal Synchronization Control of Multiagent Systems With Input Saturation via Off-Policy Reinforcement Learning
- (2018) Jiahu Qin et al. IEEE Transactions on Neural Networks and Learning Systems
- Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm
- (2018) Kaizhou Gao et al. IEEE Transactions on Cybernetics
- Forecasting of Power Grid Investment in China Based on Support Vector Machine Optimized by Differential Evolution Algorithm and Grey Wolf Optimization Algorithm
- (2018) Shuyu Dai et al. Applied Sciences-Basel
- Application of Grey Wolf Optimization for Solving Combinatorial Problems: Job Shop and Flexible Job Shop Scheduling Cases
- (2018) Tianhua Jiang et al. IEEE Access
- Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey
- (2018) Haiping Ma et al. Swarm and Evolutionary Computation
- Bi-level genetic algorithms for a two-stage assembly flow-shop scheduling problem with batch delivery system
- (2018) Saeedeh Ahmadi Basir et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Fast Consensus Seeking on Networks with Antagonistic Interactions
- (2018) Jijun Qu et al. COMPLEXITY
- A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution
- (2018) Chao Lu et al. APPLIED SOFT COMPUTING
- 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
- Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm
- (2017) Chao Lu et al. JOURNAL OF CLEANER PRODUCTION
- A hybrid algorithm using a genetic algorithm and multiagent reinforcement learning heuristic to solve the traveling salesman problem
- (2017) Mir Mohammad Alipour et al. NEURAL COMPUTING & APPLICATIONS
- Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns
- (2017) Yuyan Han et al. IEEE Transactions on Cybernetics
- 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
- Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization
- (2016) Seyedali Mirjalili et al. EXPERT SYSTEMS WITH APPLICATIONS
- An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem
- (2016) Xinyu Li et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- A knowledge-guided fruit fly optimization algorithm for dual resource constrained flexible job-shop scheduling problem
- (2016) Xiao-long Zheng et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- An efficient chaotic based PSO for earliness/tardiness optimization in a batch processing flow shop scheduling problem
- (2015) Hadi Mokhtari et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A Q-learning-based swarm optimization algorithm for economic dispatch problem
- (2015) Yi-Zeng Hsieh et al. NEURAL COMPUTING & APPLICATIONS
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- An effective genetic algorithm for flexible job-shop scheduling with overlapping in operations
- (2014) Yunus Demir et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm
- (2013) Min Dai et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem
- (2010) Quan-Ke Pan et al. INFORMATION SCIENCES
- An adaptive multi-population genetic algorithm to solve the multi-objective group scheduling problem in hybrid flexible flowshop with sequence-dependent setup times
- (2010) M. Zandieh et al. JOURNAL OF INTELLIGENT MANUFACTURING
- The hybrid flow shop scheduling problem
- (2009) Rubén Ruiz et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- A hybrid genetic and variable neighborhood descent algorithm for flexible job shop scheduling problems
- (2007) Jie Gao et al. COMPUTERS & OPERATIONS RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now