A Knowledge-Based Two-Population Optimization Algorithm for Distributed Energy-Efficient Parallel Machines Scheduling
出版年份 2020 全文链接
标题
A Knowledge-Based Two-Population Optimization Algorithm for Distributed Energy-Efficient Parallel Machines Scheduling
作者
关键词
-
出版物
IEEE Transactions on Cybernetics
Volume 52, Issue 6, Pages 5051-5063
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2020-10-30
DOI
10.1109/tcyb.2020.3026571
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。- Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm
- (2020) Guangchen Wang et al. Swarm and Evolutionary Computation
- HPFE: a new secure framework for serving multi-users with multi-tasks in public cloud without violating SLA
- (2019) Aida A. Nasr et al. NEURAL COMPUTING & APPLICATIONS
- An imperialist competitive algorithm with memory for distributed unrelated parallel machines scheduling
- (2019) Deming Lei et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A decomposition-based coevolutionary multiobjective local search for combinatorial multiobjective optimization
- (2019) Xinye Cai et al. Swarm and Evolutionary Computation
- A collaborative optimization algorithm for energy-efficient multi-objective distributed no-idle flow-shop scheduling
- (2019) Jing-fang Chen et al. Swarm and Evolutionary Computation
- Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling
- (2019) Zi-Jia Wang et al. IEEE Transactions on Cybernetics
- Local Binary Pattern-Based Adaptive Differential Evolution for Multimodal Optimization Problems
- (2019) Hong Zhao et al. IEEE Transactions on Cybernetics
- Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs
- (2019) Jun-Qing Li et al. IEEE Transactions on Cybernetics
- Nature inspired chaotic squirrel search algorithm (CSSA) for multi objective task scheduling in an IAAS cloud computing atmosphere
- (2019) M.S. Sanaj et al. Engineering Science and Technology-An International Journal-JESTECH
- Including preventive maintenance activities in an unrelated parallel machine environment with dependent setup times
- (2018) Oliver Avalos-Rosales et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Bi-objective identical parallel machine scheduling to minimize total energy consumption and makespan
- (2018) Shijin Wang et al. JOURNAL OF CLEANER PRODUCTION
- Using the TSP Solution Strategy for Cloudlet Scheduling in Cloud Computing
- (2018) Aida A. Nasr et al. Journal of Network and Systems Management
- 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
- A memetic differential evolution algorithm for energy-efficient parallel machine scheduling
- (2018) Xueqi Wu et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Iterated Greedy methods for the distributed permutation flowshop scheduling problem
- (2018) Rubén Ruiz et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- A Collaborative Multiobjective Fruit Fly Optimization Algorithm for the Resource Constrained Unrelated Parallel Machine Green Scheduling Problem
- (2018) Xiao-Long Zheng et al. IEEE Transactions on Systems Man Cybernetics-Systems
- A Knowledge-Based Cooperative Algorithm for Energy-Efficient Scheduling of Distributed Flow-Shop
- (2018) Jing-Jing Wang et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey
- (2018) Haiping Ma et al. Swarm and Evolutionary Computation
- A knowledge-guided multi-objective fruit fly optimization algorithm for the multi-skill resource constrained project scheduling problem
- (2018) Ling Wang et al. Swarm and Evolutionary Computation
- A novel water pressure change optimization technique for solving scheduling problem in cloud computing
- (2018) Aida A. Nasr et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Multiobjective approach for deteriorating jobs scheduling for a sustainable manufacturing system
- (2018) Meriem Tigane et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Energy-conscious unrelated parallel machine scheduling under time-of-use electricity tariffs
- (2017) Ada Che et al. JOURNAL OF CLEANER PRODUCTION
- Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns
- (2017) Yuyan Han et al. IEEE Transactions on Cybernetics
- Improving Metaheuristic Algorithms With Information Feedback Models
- (2017) Gai-Ge Wang et al. IEEE Transactions on Cybernetics
- Energy efficient computing, clusters, grids and clouds: A taxonomy and survey
- (2017) Muhammad Zakarya et al. Sustainable Computing-Informatics & Systems
- An improved water flow-like algorithm for order acceptance and scheduling with identical parallel machines
- (2017) Gen-Han Wu et al. APPLIED SOFT COMPUTING
- Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time
- (2016) Yuyan Han et al. APPLIED SOFT COMPUTING
- Parallel machine scheduling problems in green manufacturing industry
- (2016) Kai Li et al. JOURNAL OF MANUFACTURING SYSTEMS
- Minimizing cost-related objective in synchronous scheduling of parallel factories in the virtual production network
- (2015) J. Behnamian et al. APPLIED SOFT COMPUTING
- Multiobjective Flexible Job Shop Scheduling Using Memetic Algorithms
- (2015) Yuan Yuan et al. IEEE Transactions on Automation Science and Engineering
- An improved model and novel simulated annealing for distributed job shop problems
- (2015) Bahman Naderi et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Unrelated parallel machine scheduling problem with energy and tardiness cost
- (2015) Zhantao Li et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Graph colouring-based algorithm to parallel jobs scheduling on parallel factories
- (2015) J. Behnamian INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- Multi-objective unrelated parallel machine scheduling: a Tabu-enhanced iterated Pareto greedy algorithm
- (2015) Shih-Wei Lin et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- An effective differential evolution algorithm for permutation flow shop scheduling problem
- (2014) Ying Liu et al. APPLIED MATHEMATICS AND COMPUTATION
- A discrete artificial bee colony algorithm incorporating differential evolution for the flow-shop scheduling problem with blocking
- (2014) Yu-Yan Han et al. ENGINEERING OPTIMIZATION
- A survey of multi-factory scheduling
- (2014) J. Behnamian et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Flexible job shop scheduling using hybrid differential evolution algorithms
- (2013) Yuan Yuan et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Decomposition based hybrid VNS–TS algorithm for distributed parallel factories scheduling with virtual corporation
- (2013) J. Behnamian COMPUTERS & OPERATIONS RESEARCH
- An improved NSGA-II algorithm for multi-objective lot-streaming flow shop scheduling problem
- (2013) Yu-Yan Han et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- The heterogeneous multi-factory production network scheduling with adaptive communication policy and parallel machine
- (2012) J. Behnamian et al. INFORMATION SCIENCES
- Bi-objective partial flexible job shop scheduling problem: NSGA-II, NRGA, MOGA and PAES approaches
- (2012) M. Rabiee et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- An efficient knowledge-based algorithm for the flexible job shop scheduling problem
- (2012) Hamid Karimi et al. KNOWLEDGE-BASED SYSTEMS
- A multiscale decomposition method for the optimal planning and scheduling of multi-site continuous multiproduct plants
- (2011) Sebastian Terrazas-Moreno et al. CHEMICAL ENGINEERING SCIENCE
- A genetic algorithm for the unrelated parallel machine scheduling problem with sequence dependent setup times
- (2011) Eva Vallada et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Differential Evolution: A Survey of the State-of-the-Art
- (2010) Swagatam Das et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- The distributed permutation flowshop scheduling problem
- (2009) B. Naderi et al. COMPUTERS & OPERATIONS RESEARCH
- A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems
- (2008) Ling Wang et al. COMPUTERS & OPERATIONS RESEARCH
- A new parallel genetic algorithm for solving multiobjective scheduling problems subjected to special process constraint
- (2008) Jiaquan Gao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- On a Feasible–Infeasible Two-Population (FI-2Pop) genetic algorithm for constrained optimization: Distance tracing and no free lunch
- (2007) Steven Orla Kimbrough et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk 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