On the application of evolutionary pattern search algorithms [electronic resource]
Saved in:
| Online Access: |
Online Access |
|---|---|
| Corporate Author: | |
| Format: | Government Document Electronic eBook |
| Language: | English |
| Published: |
Washington, D.C. : Oak Ridge, Tenn. :
United States. Dept. of Energy ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy,
1997.
|
| Subjects: |
| Abstract: | This paper presents an experimental evaluation of evolutionary pattern search algorithms (EPSAs). Our experimental evaluation of EPSAs indicates that EPSAs can achieve similar performance to EAs on challenging global optimization problems. Additionally, we describe a stopping rule for EPSAs that reliably terminated them near a stationary point of the objective function. The ability for EPSAs to reliably terminate near stationary points offers a practical advantage over other EAs, which are typically stopped by heuristic stopping rules or simple bounds on the number of iterations. Our experiments also illustrate how the rate of the crossover operator can influence the tradeoff between the number of iterations before termination and the quality of the solution found by an EPSA. |
|---|---|
| Item Description: | Published through the Information Bridge: DOE Scientific and Technical Information. 02/01/1997. "sand--97-0486c" " conf-970740--1" "conf-980330--" "DE97004389" 7. international conference on genetic algorithms, Lansing, MI (United States); San Diego, CA (United States), 19 Jul 1997; 25-27 Mar 1998. Hart, W.E. |
| Physical Description: | 12 p. : digital, PDF file. |