DocumentCode
412571
Title
On building a principled framework for evaluating and testing evolutionary algorithms: a continuous landscape generator
Author
Yuan, Bo ; Gallagher, Marcus
Author_Institution
Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Brisbane, Qld., Australia
Volume
1
fYear
2003
fDate
8-12 Dec. 2003
Firstpage
451
Abstract
In this paper, we address some issue related to evaluating and testing evolutionary algorithms. A landscape generator based on Gaussian functions is proposed for generating a variety of continuous landscapes as fitness functions. Through some initial experiments, we illustrate the usefulness of this landscape generator in testing evolutionary algorithms.
Keywords
Gaussian processes; evolutionary computation; performance evaluation; Gaussian functions; continuous landscape generator; evolutionary algorithms evaluation; evolutionary algorithms testing; fitness functions; principled framework; Algorithm design and analysis; Australia; Control systems; Evolutionary computation; Information technology; Performance analysis; Performance evaluation; Power generation; Predictive models; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN
0-7803-7804-0
Type
conf
DOI
10.1109/CEC.2003.1299610
Filename
1299610
Link To Document