Title
Tip the Balance: Improving Exploration of Balanced Crossover Operators by Adaptive Bias
Abstract
The use of balanced crossover operators in Genetic Algorithms (GA) ensures that the binary strings generated as offsprings have the same Hamming weight of the parents, a constraint which is sought in certain discrete optimization problems. Although this method reduces the size of the search space, the resulting fitness landscape often becomes more difficult for the GA to explore and to discover op...
Year
DOI
Venue
2021
10.1109/CANDARW53999.2021.00046
2021 Ninth International Symposium on Computing and Networking Workshops (CANDARW)
Keywords
DocType
ISBN
Genetic algorithms,crossover operators,boolean functions,balancedness,nonlinearity
Conference
978-1-6654-2835-4
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Luca Manzoni148855.19
Luca Mariot24711.35
Tuba Eva300.34