Paper Info
Title
Cultural operators for a quantum-inspired evolutionary algorithm applied to numerical optimization problems
Abstract
This work presents the application of cultural algorithms operators to a new quantum-inspired evolutionary algorithm with numerical representation. These operators (fission, fusion, generalization and specialization) are used in order to provide better control over the quantum-inspired evolutionary algorithm. We also show that the quantum-inspired evolutionary algorithm with numerical representation behaves in a very similar manner to a pure cultural algorithm and we propose further investigations concerning this aspect.
Year
DOI
Venue
2005
10.1007/11499305_1
IWINAC (2)
Keywords
Field
DocType
quantum-inspired evolutionary algorithm,better control,numerical optimization problem,similar manner,cultural operator,new quantum-inspired evolutionary algorithm,cultural algorithms operator,pure cultural algorithm,numerical representation
Quantum,Mathematical optimization,Evolutionary algorithm,Computer science,Knowledge engineering,Operator (computer programming),Cultural algorithm,Evolutionary programming,Optimization problem,Genetic algorithm
Conference
Volume
ISSN
ISBN
3562
0302-9743
3-540-26319-5
Citations 
PageRank 
References 
4
0.53
8
Authors
4
Name
Order
Citations
PageRank
André Vargas Abs da Cruz1295.91
Marco Aurélio C. Pacheco2407.05
Marley B. R. Vellasco328047.47
Carlos R. Hall Barbosa4435.14