Paper Info
Title
New requirements for off-line parameter calibration algorithms
Abstract
The process of designing an evolutionary algorithm requires the definition of an adequate representation, a set of components as operators, parameters and parameters values. In practice, some operators can not be helping the evolutionary algorithm to perform his work, thus we require to be able to detect these situations. In this paper we are interested on analyzing the capabilities of off-line calibration techniques, originally designed to tune parameter values, to recognize situations more related to the design process of an evolutionary algorithm. We experimentally analyze the results of the off-line calibration techniques on some specific situations. For that purpose we use some specially designed operators for an evolutionary algorithm which solves the traveling salesman problem.
Year
DOI
Venue
2010
10.1109/CEC.2010.5586156
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
calibration,evolutionary computation,mathematical operators,optimisation,evolutionary algorithm,off line parameter calibration algorithm,traveling salesman problem
Memetic algorithm,Evolutionary algorithm,Computer science,Travelling salesman problem,Operator (computer programming),Artificial intelligence,Engineering design process,Interactive evolutionary computation,Mathematical optimization,Evolutionary computation,Algorithm,2-opt,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4244-6909-3
3
0.39
References 
Authors
10
3
Name
Order
Citations
PageRank
Elizabeth Montero16910.14
María Cristina Riff220023.91
Bertrand Neveu325323.18