Title : 
Survival and Construction Theory for One-Point Crossover
         
        
            Author : 
Ming, Liang ; Wang, Yuping
         
        
            Author_Institution : 
Sch. of Sci., Xidian Univ., Xi´´an
         
        
        
        
        
        
        
            Abstract : 
As a fundamental operator in genetic algorithms (GAs), crossover may not only make an existing schema survived, but also construct a new one from other existing schemata. Unfortunately, the traditional schema theorem (Holland 1975) does not take into account the positive effects of a schema construction through crossover operation. Thus, they can not well characterize the evolution of a schema. In this paper we first propose a new ternary representation, through which the survival and construction of a schema can be easily distinguished. Subsequently, we discuss the survival theory and construction one for one-point crossover. It deepens and generalizes the existing results on schema theorems
         
        
            Keywords : 
genetic algorithms; mathematical operators; construction theory; genetic algorithm; one-point crossover operator; survival theory; ternary representation; Adaptive control; Artificial neural networks; Biological cells; Computer science; Fuzzy systems; Genetic algorithms; Machine learning; Machine learning algorithms;
         
        
        
        
            Conference_Titel : 
Computational Intelligence and Security, 2006 International Conference on
         
        
            Conference_Location : 
Guangzhou
         
        
            Print_ISBN : 
1-4244-0605-6
         
        
            Electronic_ISBN : 
1-4244-0605-6
         
        
        
            DOI : 
10.1109/ICCIAS.2006.294121