dr Tomasz D.Gwiazda
 Assistant Professor

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Contents of e-Book
Index of authors
Index of experiment domains


Introduction

Standard operators
1-Point Crossover
k-Point Crossover
Shuffle Crossover
Reduced Surrogate Crossover
Uniform Crossover
Highly Disruptive Crossover,Heuristic Uniform Crossover
Average Crossover
Discrete Crossover
Flat Crossover
Heuristic Crossover,Intermediate Crossover
Blend Crossover


Binary coded operators
Random Respectful Crossover
Masked Crossover
1bit Adaptation Crossover
Multivariate Crossover
Homologous Crossover
Count-preserving Crossover
Elitist Crossover
    Average Crossover  
         

 

 

(AX)

download PDF with first 40 pages
from my latest eBook

if you need more operators click here

Read also
  Nomura T.  (1997), An Analysis on Crossovers for Real Number Chromosomes in an Infinite Population Size, ATR Human Information Processing Research Laboratories, Evolutionary Systems Department
WEB:    
http://citeseer.ifi.unizh.ch/62577.html

           
http://citeseer.ist.psu.edu/62577.html

●  Fernandes C. , Tavares R. , Munteanu C. , Rosa A.  (2001), Using Assortative Mating in Genetic Algorithms for Vector Quantization Problems, in Proceedings of the 2001 ACM symposium on Applied computing , pp. 361 - 365 
WEB:    
http://citeseer.ist.psu.edu/fernandes01using.html

           
http://citeseer.ifi.unizh.ch/fernandes01using.html

Algorithm
1.
     select two parents X(t) and Y(t) from a parent pool

2.     create one offspring  X(t+1)  as follows:

3.              for i = 1 to n do

4.              xi(t+1)=(xi(t)+yi(t))/2 

5.              end do  

 
   

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