A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming
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Title
A modified adaptive switching-based many-objective evolutionary algorithm for distributed heterogeneous flowshop scheduling with lot-streaming
Authors
Keywords
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Journal
Swarm and Evolutionary Computation
Volume -, Issue -, Pages 101353
Publisher
Elsevier BV
Online
2023-06-22
DOI
10.1016/j.swevo.2023.101353
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- (2022) Sanyan Chen et al. KNOWLEDGE-BASED SYSTEMS
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- (2022) Sven Schulz et al. Journal of Cleaner Production
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- Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer
- (2021) Laith Abualigah et al. EXPERT SYSTEMS WITH APPLICATIONS
- A referenced iterated greedy algorithm for the distributed assembly mixed no-idle permutation flowshop scheduling problem with the total tardiness criterion
- (2021) Yuan-Zhen Li et al. KNOWLEDGE-BASED SYSTEMS
- 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
- A Kernel-Based Indicator for Multi/Many-Objective Optimization
- (2021) Xinye Cai et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times
- (2020) Jiang-Ping Huang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A distributed heterogeneous permutation flowshop scheduling problem with lot-streaming and carryover sequence-dependent setup time
- (2020) Tao Meng et al. Swarm and Evolutionary Computation
- An effective multi-start iterated greedy algorithm to minimize makespan for the distributed permutation flowshop scheduling problem with preventive maintenance
- (2020) Jia-yang Mao et al. EXPERT SYSTEMS WITH APPLICATIONS
- A distributed permutation flowshop scheduling problem with the customer order constraint
- (2019) Tao Meng et al. KNOWLEDGE-BASED SYSTEMS
- A discrete multi-objective fireworks algorithm for flowshop scheduling with sequence-dependent setup times
- (2019) Lijun He et al. Swarm and Evolutionary Computation
- Production scheduling and lot streaming at flexible job-shops environments using constraint programming
- (2019) Juan M. Novas COMPUTERS & INDUSTRIAL ENGINEERING
- ISDE+ - An Indicator for Multi and Many-objective Optimization
- (2018) Trinadh Pamulapati et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- An improved migrating birds optimization for an integrated lot-streaming flow shop scheduling problem
- (2018) Tao Meng et al. Swarm and Evolutionary Computation
- Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns
- (2017) Yuyan Han et al. IEEE Transactions on Cybernetics
- Island-based harmony search for optimization problems
- (2015) Mohammed Azmi Al-Betar et al. EXPERT SYSTEMS WITH APPLICATIONS
- A scatter search algorithm for the distributed permutation flowshop scheduling problem
- (2014) Bahman Naderi et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- An effective hybrid immune algorithm for solving the distributed permutation flow-shop scheduling problem
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- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
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- An estimation of distribution algorithm for lot-streaming flow shop problems with setup times
- (2011) Quan-Ke Pan et al. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
- Multiobjective evolutionary algorithms: A survey of the state of the art
- (2011) Aimin Zhou et al. Swarm and Evolutionary Computation
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
- (2011) Joaquín Derrac et al. Swarm and Evolutionary Computation
- A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem
- (2010) Quan-Ke Pan et al. EXPERT SYSTEMS WITH APPLICATIONS
- A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem
- (2010) Quan-Ke Pan et al. INFORMATION SCIENCES
- An effective shuffled frog-leaping algorithm for lot-streaming flow shop scheduling problem
- (2010) Quan-Ke Pan et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- The distributed permutation flowshop scheduling problem
- (2009) B. Naderi et al. COMPUTERS & OPERATIONS RESEARCH
- Threshold accepting and Ant-colony optimization algorithms for scheduling m-machine flow shops with lot streaming
- (2008) S. Marimuthu et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- A discrete particle swarm optimization for lot-streaming flowshop scheduling problem
- (2007) Chao-Tang Tseng et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Evolutionary algorithms for scheduling m-machine flow shop with lot streaming
- (2006) S. Marimuthu et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
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