Title
Excluding The Best And Worst Individuals From Parent Selection
Abstract
Any crossover operator has both beneficial and detrimental effects: it can bring building blocks together or it can tear them apart. In this paper, we provide evidence that the recombination can be biased towards its more beneficial aspects by modifying the parent selection process. A crude motivation is that the worst individuals do not have valuable building blocks to contribute, and it is too risky to subject the best individuals to crossover and have their building blocks separated. This idea is tested on both the hierarchical if and only if (HIFF) and the one dimensional Ising spin glass (SPIN) fitness functions. Four different parent selection schemes are compared and simulations are shown for both generational and steady state implementations. The results indicate this is a promising direction for future research.
Year
DOI
Venue
2007
10.1109/CEC.2007.4424499
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS
Keywords
Field
DocType
fitness function,spin glass,genetic algorithms,steady state
Mathematical optimization,Crossover,Computer science,Ising model,If and only if,Operator (computer programming),Genetic algorithm
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
1
Name
Order
Citations
PageRank
Leon Poladian1162.72