Physics – Condensed Matter – Materials Science
Scientific paper
2004-11-17
Physical Review E 72, 016702(2005)
Physics
Condensed Matter
Materials Science
5 pages and 3 figures
Scientific paper
10.1103/PhysRevE.72.016702
In this paper, we explore a general-purpose heuristic algorithm for finding high-quality solutions to continuous optimization problems. The method, called continuous extremal optimization(CEO), can be considered as an extension of extremal optimization(EO) and is consisted of two components, one is with responsibility for global searching and the other is with responsibility for local searching. With only one adjustable parameter, the CEO's performance proves competitive with more elaborate stochastic optimization procedures. We demonstrate it on a well known continuous optimization problem: the Lennerd-Jones clusters optimization problem.
Bai Wen-Jie
Cheng Long-Jiu
Wang Bing-Hong
Zhou Tianchun
No associations
LandOfFree
Continuous extremal optimization for Lennard-Jones Clusters does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Continuous extremal optimization for Lennard-Jones Clusters, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Continuous extremal optimization for Lennard-Jones Clusters will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-654442