Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
出版年份 2022 全文链接
标题
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
作者
关键词
Distributed hybrid flow shop scheduling, Setup time, Mixed-integer linear programming, Constraint programming, Modeling idea
出版物
Swarm and Evolutionary Computation
Volume 71, Issue -, Pages 101058
出版商
Elsevier BV
发表日期
2022-03-25
DOI
10.1016/j.swevo.2022.101058
参考文献
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- (2021) Luping Zhang et al. COMPUTERS & OPERATIONS RESEARCH
- Solving Type-2 Fuzzy Distributed Hybrid Flowshop Scheduling Using an Improved Brain Storm Optimization Algorithm
- (2021) Junqing Li et al. International Journal of Fuzzy Systems
- Energy-Aware Flexible Job Shop Scheduling Using Mixed Integer Programming and Constraint Programming
- (2021) Andy Ham et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems
- (2021) Yuan-Zhen Li et al. Swarm and Evolutionary Computation
- An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem
- (2021) Fuqing Zhao et al. APPLIED SOFT COMPUTING
- Effective constructive heuristics for distributed no-wait flexible flow shop scheduling problem
- (2021) Weishi Shao et al. COMPUTERS & OPERATIONS RESEARCH
- A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers
- (2021) Chao Lu et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem
- (2020) Weishi Shao et al. KNOWLEDGE-BASED SYSTEMS
- Mixed-integer linear programming and constraint programming formulations for solving distributed flexible job shop scheduling problem
- (2020) Leilei Meng et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Dynamic shuffled frog-leaping algorithm for distributed hybrid flow shop scheduling with multiprocessor tasks
- (2020) Jingcao Cai et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
- (2020) Yingli Li et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Ensemble of metaheuristics for energy-efficient hybrid flowshops: Makespan versus total energy consumption
- (2020) Hande Öztop et al. Swarm and Evolutionary Computation
- A shuffled frog-leaping algorithm with memeplex quality for bi-objective distributed scheduling in hybrid flow shop
- (2020) Jingcao Cai et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- An improved artificial bee colony algorithm for distributed heterogeneous hybrid flowshop scheduling problem with sequence-dependent setup times
- (2020) Yingli Li et al. COMPUTERS & INDUSTRIAL ENGINEERING
- An imperialist competitive algorithm with memory for distributed unrelated parallel machines scheduling
- (2019) Deming Lei et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- More MILP models for hybrid flow shop scheduling problem and its extended problems
- (2019) Leilei Meng et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Efficiency of the solution representations for the hybrid flow shop scheduling problem with makespan objective
- (2019) Victor Fernandez-Viagas et al. COMPUTERS & OPERATIONS RESEARCH
- 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
- A constraint programming approach for solving unrelated parallel machine scheduling problem
- (2018) Ridvan Gedik et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Minimizing makespan for the distributed hybrid flowshop scheduling problem with multiprocessor tasks
- (2018) Kuo-Ching Ying et al. EXPERT SYSTEMS WITH APPLICATIONS
- Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines
- (2018) Leilei Meng et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion
- (2018) Hong-Yan Sang et al. Swarm and Evolutionary Computation
- MILP models for energy-aware flexible job shop scheduling problem
- (2018) Leilei Meng et al. JOURNAL OF CLEANER PRODUCTION
- A competitive memetic algorithm for multi-objective distributed permutation flow shop scheduling problem
- (2017) Jin Deng et al. Swarm and Evolutionary Computation
- Flexible job shop scheduling problem with parallel batch processing machines: MIP and CP approaches
- (2016) Andy M. Ham et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Hybrid flexible flowshop problems: Models and solution methods
- (2014) B. Naderi et al. APPLIED MATHEMATICAL MODELLING
- Modeling and heuristics for scheduling of distributed job shops
- (2014) B. Naderi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Evaluation of mathematical models for flexible job-shop scheduling problems
- (2012) Yunus Demir et al. APPLIED MATHEMATICAL MODELLING
- Mathematical models for job-shop scheduling problems with routing and process plan flexibility
- (2009) Cemal Özgüven et al. APPLIED MATHEMATICAL MODELLING
- An Improved Genetic Algorithm for the Distributed and Flexible Job-shop Scheduling problem
- (2009) L. De Giovanni et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Exact algorithms for a scheduling problem with unrelated parallel machines and sequence and machine-dependent setup times
- (2006) Pedro Leite Rocha et al. COMPUTERS & OPERATIONS RESEARCH
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