Application of a uniform design simulated annealing genetic algorithm in separation condition optimization of 15 drugs

2015 ◽  
Author(s):  
X. G. Chen ◽  
T. Zhang
Keyword(s):  
Genetic Algorithm ◽  
Simulated Annealing ◽  
Uniform Design ◽  
Separation Condition ◽  
Simulated Annealing Genetic Algorithm ◽  
Condition Optimization

Computational Intelligence in Cross Docking

2014 ◽  
Vol 2 (1) ◽  
pp. 1-8
Author(s):  
Bo Xing
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Simulated Annealing ◽  
Tabu Search ◽  
Computational Intelligence ◽  
Simple Concept ◽  
Simulated Annealing Genetic Algorithm ◽  
Cross Docking ◽  
Open Questions ◽  
Key Issues

Cross docking is a practice in logistics with the main operations of goods flow directly from receiving to the shipping docks without stopping or being put away into storage. It is a simple concept to talk about, but a challenging one to implement. So far, many different approaches have been followed in order to improve the efficiency of a cross docking system. However, as the complexity increases, the use of computational intelligence (CI) in those problems is becoming a unique tool of imperative value. In this paper, different CI methods, such as Tabu search, simulated annealing, genetic algorithm, and fuzzy logic. The key issues in implementing the proposed approaches are discussed, and finally the open questions are highlighted.

Multi-sensor Task Assignment Based on Simulated Annealing Genetic Algorithm

2019 ◽  
Author(s):  
Yong Wu ◽  
Yijie Zhang ◽  
Haibao Tian ◽  
Guoqing Shi ◽  
Longfei Yue
Keyword(s):  
Genetic Algorithm ◽  
Simulated Annealing ◽  
Task Assignment ◽  
Simulated Annealing Genetic Algorithm
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