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An improved constraint satisfaction adaptive neural network for job-shop scheduling [PDF]
, 2010 Copyright @ Springer Science + Business Media, LLC 2009This paper presents an improved constraint satisfaction adaptive neural network for job-shop scheduling problems.
Yang, S +11 more
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An Improved Shuffled Frog-Leaping Algorithm for Flexible Job Shop Scheduling Problem
Algorithms, 2015 The flexible job shop scheduling problem is a well-known combinatorial optimization problem. This paper proposes an improved shuffled frog-leaping algorithm to solve the flexible job shop scheduling problem. The algorithm possesses an adjustment sequence
Kong Lu +5 more
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Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling [PDF]
, 2000 Copyright @ 2000 IEEEThis paper presents a constraint satisfaction adaptive neural network, together with several heuristics, to solve the generalized job-shop scheduling problem, one of NP-complete constraint satisfaction problems.
Yang, S +3 more
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IEEE Access, 2020 With the development of intelligent manufacturing and the customized product demand of customers, manufacturing enterprises are urgently required to carry out high-efficiency, high-quality, flexibility and low-cost manufacturing to enhance the ...
Yanwei Sang, Jianping Tan, Wen Liu
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A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm
International Journal of Antennas and Propagation, 2021 This paper comprehensively analyzes the characteristics of flexible job shop scheduling problem (FJSSP), takes the dynamic factors in the actual scheduling process such as the arrival and departure of jobs, the breakdown and recovery of machines into ...
Yanjiao Wang, Jieru Han
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A Hybrid Evolutionary Algorithm for Solving Flexible Job Shop Scheduling Problem [PDF]
IJCI International Journal of Computers and Information, 2009 This paper presents an Evolutionary Algorithm (EA) to solve the flexible job shop scheduling problem,especially minimizing the makespan. A hybrid algorithm is introduced for solving flexible job shop scheduling problem.The proposed algorithm consists of ...
Abd Al-azeem Abd Al-azeem +3 more
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An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem
Advances in Mechanical Engineering, 2018 Genetic algorithm is one of primary algorithms extensively used to address the multi-objective flexible job-shop scheduling problem. However, genetic algorithm converges at a relatively slow speed.
Xiabao Huang, Zailin Guan, Lixi Yang
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Scheduling jobs on a k-stage flexible flow-shop
Annals of Operations Research, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carlos D. Paternina-Arboleda +3 more
openaire +5 more sources
Journal of Applied Mathematics, 2012 Scheduled production system leads to avoiding stock accumulations, losses reduction, decreasing or even eliminating idol machines, and effort to better benefitting from machines for on time responding customer orders and supplying requested materials in ...
Behnam Barzegar +2 more
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Transactions of Nanjing University of Aeronautics and AstronauticsIntelligent production is an important development direction in intelligent manufacturing， with intelligent factories playing a crucial role in promoting intelligent production.
MA Yajie +5 more
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