专题：Scheduling and Optimization Algorithms

This cluster of papers focuses on scheduling problems in manufacturing systems, particularly addressing issues such as setup times, batching, dynamic scheduling, energy efficiency, and multi-objective optimization. It explores various techniques including genetic algorithms, agent-based control, and hybrid optimization to improve scheduling efficiency and effectiveness in manufacturing processes.
最新文献
Trend-Aware Mechanism for Metaheuristic Algorithms

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Proceedings of the International Conference on Industrial Engineering and Operations Management

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Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future

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Multi-attribute bottleneck identification method for hybrid flow shops in panel furniture intelligent manufacturing

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Optimal Stopping Rules

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Energy-Efficiency Oriented Distributed Heterogeneous Hybrid Flow Shop Scheduling With Multilevelled Mixed-Model Assembly

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Frequency-Constrained Coordinated Scheduling for Asynchronous AC Systems Under Uncertainty via Distributional Robustness

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A self-learning whale optimization algorithm based on reinforcement learning for a dual-resource flexible job shop scheduling problem

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Multi-objective scheduling for green flexible assembly job-shop system via multi-agent deep reinforcement learning with game theory

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A matheuristic-based self-learning approach for distributed heterogeneous assembly flowshop scheduling with multiple assembly factories and make-to-order delivery

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近5年高被引文献
Revolutionizing Supply Chain Management: Real-time Data Processing and Concurrency

article Full Text OpenAlex 1323 FWCI1393.083

A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems

review Full Text OpenAlex 586 FWCI10.005

IEEE Transactions on Industrial Informatics

paratext Full Text OpenAlex 500 FWCI0

Reinforcement learning for combinatorial optimization: A survey

article Full Text OpenAlex 499 FWCI56.824

Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda

article Full Text OpenAlex 440 FWCI51.337

Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA)

book Full Text OpenAlex 282 FWCI19.298

Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning

article Full Text OpenAlex 230 FWCI33.413

Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm

article Full Text OpenAlex 229 FWCI28.509

Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

article Full Text OpenAlex 218 FWCI24.718

An updated survey of variants and extensions of the resource-constrained project scheduling problem

article Full Text OpenAlex 205 FWCI23.691