An effective memetic algorithm for distributed flexible job shop scheduling problem considering integrated sequencing flexibility

Expert Systems with Applications, Год журнала: 2023, Номер 242, С. 122734 - 122734

Опубликована: Ноя. 30, 2023

Язык: Английский

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Shared manufacturing-based distributed flexible job shop scheduling with supply-demand matching

Computers & Industrial Engineering, Год журнала: 2024, Номер 189, С. 109950 - 109950

Опубликована: Фев. 5, 2024

Язык: Английский

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A double-Q network collaborative multi-objective optimization algorithm for precast scheduling with curing constraints

Swarm and Evolutionary Computation, Год журнала: 2024, Номер 89, С. 101619 - 101619

Опубликована: Июнь 21, 2024

Язык: Английский

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An ensemble of brain storm optimization and Q-learning methods for distributed flexible job shop scheduling problems with distribution operations

International Journal of General Systems, Год журнала: 2024, Номер 53(7-8), С. 863 - 897

Опубликована: Март 15, 2024

Distributed manufacturing scheduling problems have attracted much concern from both industrial and academic areas. Nevertheless, distributed with distribution operations are seldom studied. This work proposes a flexible job shop problem operations. A set of jobs is handled at shops, then the finished transported to their corresponding customers following given due dates. First, mixed integer programming model established minimize total tardiness. Second, an ensemble brain storm optimization Q-learning methods developed solve formulated model. Six heuristics hybridized generate high-quality initial population. method devised by fully employing found search information guide subsequent processes instead using fixed parameters as basic optimization. variable neighborhood combining problem-specific knowledge designed further refine best individual. At last, compared three state-of-the-art metaheuristics mathematical solver CPLEX via group instances. The results analysis demonstrate that algorithm more powerful competitiveness in addressing studied problem.

Язык: Английский

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Multi-objective dynamic distributed flexible job shop scheduling problem considering uncertain processing time

Cluster Computing, Год журнала: 2025, Номер 28(3)

Опубликована: Янв. 21, 2025

Язык: Английский

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Discrete Multi-Objective Grey Wolf Algorithm Applied to Dynamic Distributed Flexible Job Shop Scheduling Problem with Variable Processing Times

Applied Sciences, Год журнала: 2025, Номер 15(5), С. 2281 - 2281

Опубликована: Фев. 20, 2025

Uncertainty in processing times is a key issue distributed production; it severely affects scheduling accuracy. In this study, we investigate dynamic flexible job shop problem with variable (DDFJSP-VPT), which the time follows normal distribution. First, mathematical model established by simultaneously considering makespan, tardiness, and total factory load. Second, chance-constrained approach employed to predict uncertain generate robust initial schedule. Then, heuristic method involves left-shift strategy, an insertion-based local adjustment DMOGWO-based global rescheduling strategy developed dynamically adjust plan response context of uncertainty. Moreover, hybrid initialization scheme, discrete crossover, mutation operations are designed high-quality population update wolf pack, enabling GWO effectively solve problem. Based on parameter sensitivity study comparison four algorithms, algorithm’s stability effectiveness both static environments demonstrated. Finally, experimental results show that our can achieve much better performance than other rules-based reactive methods hybrid-shift strategy. The utility prediction also validated.

Язык: Английский

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Deep reinforcement learning-based memetic algorithm for solving dynamic distributed green flexible job shop scheduling problem with finite transportation resources

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 94, С. 101885 - 101885

Опубликована: Фев. 21, 2025

Язык: Английский

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Integrated optimisation of dynamic scheduling and reconfiguration for distributed reconfigurable flowshops via iterated greedy algorithm

International Journal of Systems Science Operations & Logistics, Год журнала: 2025, Номер 12(1)

Опубликована: Фев. 22, 2025

Язык: Английский

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A Q-learning improved differential evolution algorithm for human-centric dynamic distributed flexible job shop scheduling problem

Journal of Manufacturing Systems, Год журнала: 2025, Номер 80, С. 794 - 823

Опубликована: Апрель 24, 2025

Язык: Английский

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Learning-driven memetic algorithm for solving integrated distributed production and transportation scheduling problem

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 96, С. 101945 - 101945

Опубликована: Май 4, 2025

Язык: Английский

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