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
Extraction of exact symbolic stationary probability formulas for Markov chains in finite space with application to production lines. part II: unveiling accurate formulas for very short serial production lines without buffers (three- and four-stations)

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Digital-twin-based AGV cluster dynamic scheduling for solar cell production workshop using deep reinforcement learning

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An adaptive greedy repair operator in a genetic algorithm for the minimum vertex cover problem

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Proceedings of the International Conference on Industrial Engineering and Operations Management

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An improved pelican optimization algorithm for function optimization and constrained engineering design problems

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Multi-objective closed-loop supply chain inventory model with learning and forgetting under carbon emission policies using NSGA-II, MOPSO, and TOPSIS

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Performance investigation of metaheuristics for the just-in-time single-machine under different time windows and setup restriction

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A metaheuristic algorithm co-driven by Q-learning and a learning mechanism for the distributed blocking flowshop scheduling problem with preventive maintenance and sequence-dependent setup times

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An adaptive local search for large-scale parallel machine scheduling in textile production with release dates and sequence-dependent setup time

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Multi-period supply chain optimization with contango and backwardation effects using an improved hybrid genetic algorithm

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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 FWCI1785.222

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

review Full Text OpenAlex 546 FWCI9.967

Reinforcement learning for combinatorial optimization: A survey

article Full Text OpenAlex 489 FWCI56.629

IEEE Transactions on Industrial Informatics

paratext Full Text OpenAlex 477 FWCI0

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

article Full Text OpenAlex 422 FWCI51.207

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

book Full Text OpenAlex 273 FWCI19.101

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

article Full Text OpenAlex 218 FWCI29.114

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

article Full Text OpenAlex 212 FWCI24.721

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

article Full Text OpenAlex 208 FWCI31.666

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

article Full Text OpenAlex 198 FWCI23.692