A hybrid immune genetic algorithm with tabu search for minimizing the tool switch times in CNC milling batch-processing

2021 ◽  
Author(s):  
Shuangyuan Shi ◽  
Hegen Xiong
Keyword(s):  
Genetic Algorithm ◽  
Tabu Search ◽  
Batch Processing ◽  
Cnc Milling ◽  
Immune Genetic Algorithm

Application of Immune Genetic Algorithm in Survey Data Processing

2012 ◽  
Vol 241-244 ◽  
pp. 1737-1740
Author(s):  
Wei Chen
Keyword(s):  
Genetic Algorithm ◽  
Immune System ◽  
Data Processing ◽  
Survey Data ◽  
Heuristic Algorithm ◽  
Experimental Results ◽  
Immune Genetic Algorithm ◽  
Basic Principles ◽  
Immune Operator ◽  
Biological Immune System

The immune genetic algorithm is a kind of heuristic algorithm which simulates the biological immune system and introduces the genetic operator to its immune operator. Conquering the inherent defects of genetic algorithm that the convergence direction can not be easily controlled so as to result in the prematureness；it is characterized by a better global search and memory ability. The basic principles and solving steps of the immune genetic algorithm are briefly introduced in this paper. The immune genetic algorithm is applied to the survey data processing and experimental results show that this method can be practicably and effectively applied to the survey data processing.

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