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21.
Reinforcement learning approach to goal-regulation in a self-evolutionary manufacturing system
Source:
Expert Systems with Applications 39 (2012) 8736–8743
Authors:
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No of Pages:
8
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22.
Optimization of the material flowinamanufacturing plant byuse ofartificial bee colony algorithm
Source:
Expert Systems with Applications 40 (2013)4785–4790
Authors:
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No of Pages:
6
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23.
Non-permutation flowshop scheduling with dual resources
Source:
Expert Systems with Applications 40 (2013) 5061–5076
Authors:
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No of Pages:
16
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24.
Modified genetic algorithms for solving fuzzy flow shop scheduling problems and their implementation with CUDA
Source:
Expert Systems with Applications 39 (2012) 4999–5005
Authors:
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No of Pages:
7
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25.
Mixed-model assembly line balancing in the make-to-order and stochastic environment using multi-objective evolutionary algorithms
Source:
Expert Systems with Applications 39 (2012) 12026–12031
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No of Pages:
6
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26.
Genetic algorithms for single machine scheduling with time-dependent deterioration and rate-modifying activities
Source:
Expert Systems with Applications 40 (2013) 3036–3043
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No of Pages:
8
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27.
Flexible job shop scheduling with parallel machines using Genetic Algorithm and Grouping Genetic Algorithm
Source:
Expert Systems with Applications 39 (2012) 10016–10021
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No of Pages:
6
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28.
Determining manufacturing parameters to suppress system variance using linear and non-linear models
Source:
Expert Systems with Applications 39 (2012) 4020–4025
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No of Pages:
6
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29.
Continuous review inventory models with a mixture of backorders and lost sales under fuzzy demand and different decision situations
Source:
Expert Systems with Applications 39 (2012) 4181–4189
Authors:
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No of Pages:
9
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30.
Combining an alternative multi-delivery policy into economic production lot size problem with partial rework
Source:
Expert Systems with Applications 39 (2012) 2578–2583
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No of Pages:
6
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