Paper Info
Title
Coevolutionary convergence to global optima
Abstract
We discuss a theory for a realistic, applicable scaled genetic algorithm (GA) which converges asymptoticly to global optima in a coevolutionary setting involving two species. It is shown for the first time that coevolutionary arms races yielding global optima can be implemented successfully in a procedure similar to simulated annealing.
Year
DOI
Venue
2003
10.1007/3-540-45105-6_44
GECCO
Keywords
Field
DocType
coevolutionary convergence,simulated annealing,coevolutionary arms race,genetic algorithm,global optimum,coevolutionary setting,genetic programming,coevolution
Convergence (routing),Simulated annealing,Mathematical optimization,Coevolution,Computer science,Genetic programming,Artificial intelligence,Genetic algorithm
Conference
Volume
ISSN
ISBN
2723
0302-9743
3-540-40602-6
Citations 
PageRank 
References 
2
0.50
3
Authors
1
Name
Order
Citations
PageRank
Lothar M. Schmitt111612.00