A multi-phase scheduling method for reconfigurable flexible job-shops with multi-machine cooperation based on a Scout and Mutation-based Aquila Optimizer
出版年份 2023 全文链接
标题
A multi-phase scheduling method for reconfigurable flexible job-shops with multi-machine cooperation based on a Scout and Mutation-based Aquila Optimizer
作者
关键词
-
出版物
CIRP Journal of Manufacturing Science and Technology
Volume 46, Issue -, Pages 116-134
出版商
Elsevier BV
发表日期
2023-08-24
DOI
10.1016/j.cirpj.2023.08.003
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Towards human-centric reconfigurable manufacturing systems: Literature review of reconfigurability enablers for reduced reconfiguration effort and classification frameworks
- (2023) Alessia Napoleone et al. JOURNAL OF MANUFACTURING SYSTEMS
- Process and production planning for sustainable reconfigurable manufacturing systems (SRMSs): multi-objective exact and heuristic-based approaches
- (2022) Mohammad Amin Yazdani et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Quasi oppositional Aquila optimizer-based task scheduling approach in an IoT enabled cloud environment
- (2022) M. Kandan et al. JOURNAL OF SUPERCOMPUTING
- Hybrid Aquila optimizer with arithmetic optimization algorithm for global optimization tasks
- (2022) Shubham Mahajan et al. SOFT COMPUTING
- Sustainable multi-objective process planning in reconfigurable manufacturing environment: adapted new dynamic NSGA-II vs New NSGA-III
- (2022) Imen Khettabi et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Development of a structural framework to improve reconfigurable manufacturing system adoption in the manufacturing industry
- (2022) Rajesh Pansare et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- A coupling optimization method of production scheduling and computation offloading for intelligent workshops with cloud-edge-terminal architecture
- (2022) Bo Yang et al. JOURNAL OF MANUFACTURING SYSTEMS
- An improved pathfinder algorithm using opposition-based learning for tasks scheduling in cloud environment
- (2022) Adnane Talha et al. Journal of Computational Science
- Cost Optimal Production-Scheduling Model Based on VNS-NSGA-II Hybrid Algorithm—Study on Tissue Paper Mill
- (2022) Huanhuan Zhang et al. Processes
- Real-time and concurrent optimization of scheduling and reconfiguration for dynamic reconfigurable flow shop using deep reinforcement learning
- (2022) Shengluo Yang et al. CIRP Journal of Manufacturing Science and Technology
- Digital Thread-Driven Proactive and Reactive Service Composition for Cloud Manufacturing
- (2022) Bo Yang et al. IEEE Transactions on Industrial Informatics
- A multi-objective service composition method considering the interests of tri-stakeholders in cloud manufacturing based on an enhanced jellyfish search optimizer
- (2022) Yifan Gao et al. Journal of Computational Science
- Multi-objective reconfigurable production line scheduling forsmart home appliances
- (2021) Li Shiyun et al. Journal of Systems Engineering and Electronics
- Aquila Optimizer: A novel meta-heuristic optimization algorithm
- (2021) Laith Abualigah et al. COMPUTERS & INDUSTRIAL ENGINEERING
- An Effective Multi-population Grey Wolf Optimizer based on Reinforcement Learning for Flow Shop Scheduling Problem with Multi-machine Collaboration
- (2021) Ronghua Chen et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System
- (2021) Abdulaziz Fatani et al. SENSORS
- An efficient derivative-free optimization algorithm inspired by avian life-saving manoeuvres
- (2021) Mohsen Shahrouzi et al. Journal of Computational Science
- A multi-objective particle swarm optimisation for integrated configuration design and scheduling in reconfigurable manufacturing system
- (2020) Jianping Dou et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Flexible job shop scheduling problem with reconfigurable machine tools: An improved differential evolution algorithm
- (2020) Mehdi Mahmoodjanloo et al. APPLIED SOFT COMPUTING
- A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean
- (2020) Jui-Sheng Chou et al. APPLIED MATHEMATICS AND COMPUTATION
- Bi-Objective Design and Management of Reconfigurable Manufacturing Systems to Optimize Technical and Ergonomic Performances
- (2020) Marco Bortolini et al. Applied Sciences-Basel
- Product platforms design, selection and customisation in high-variety manufacturing
- (2019) Francesco Gabriele Galizia et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Machine layout design problem under product family evolution in reconfigurable manufacturing environment: a two-phase-based AMOSA approach
- (2019) Hichem Haddou Benderbal et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Reconfigurability in cellular manufacturing systems: a design model and multi-scenario analysis
- (2019) Marco Bortolini et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- An efficient exact model for the cell formation problem with a variable number of production cells
- (2018) Ilya Bychkov et al. COMPUTERS & OPERATIONS RESEARCH
- A multi-objective approach to welding shop scheduling for makespan, noise pollution and energy consumption
- (2018) Chao Lu et al. JOURNAL OF CLEANER PRODUCTION
- Reconfigurable manufacturing systems: Literature review and research trend
- (2018) Marco Bortolini et al. JOURNAL OF MANUFACTURING SYSTEMS
- 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
- A participatory systems design methodology for changeable manufacturing systems
- (2017) Ann-Louise Andersen et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Reconfigurability consideration and scheduling of products in a manufacturing industry
- (2017) Durga Prasad et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Particle swarm optimization algorithm: an overview
- (2017) Dongshu Wang et al. SOFT COMPUTING
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Bi-objective optimization of integrating configuration generation and scheduling for reconfigurable flow lines using NSGA-II
- (2016) Jianping Dou et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Design synthesis of machining systems using co-platforming
- (2016) Mohamed Abbas et al. JOURNAL OF MANUFACTURING SYSTEMS
- Capacity adjustment based on reconfigurable machine tools – Harmonising throughput time in job-shop manufacturing
- (2015) Bernd Scholz-Reiter et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
- (2015) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
- (2015) Seyedali Mirjalili et al. NEURAL COMPUTING & APPLICATIONS
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- A review on artificial intelligence applications to the optimal design of dedicated and reconfigurable manufacturing systems
- (2014) C. Renzi et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A new heuristic for integrated process planning and scheduling in reconfigurable manufacturing systems
- (2014) A. Bensmaine et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A hybrid genetic-variable neighborhood search algorithm for the cell formation problem based on grouping efficacy
- (2012) Mohammad Mahdi Paydar et al. COMPUTERS & OPERATIONS RESEARCH
- Reconfigurations of manufacturing systems—an empirical study on concepts, research, and applications
- (2012) Ateekh-Ur-Rehman et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Design of reconfigurable manufacturing systems
- (2011) Yoram Koren et al. JOURNAL OF MANUFACTURING SYSTEMS
- A novel clustering approach: Artificial Bee Colony (ABC) algorithm
- (2009) Dervis Karaboga et al. APPLIED SOFT COMPUTING
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