Global optimization using L\'evy flights
Neural and Evolutionary Computing
2014-07-23 v1
Abstract
This paper studies a class of enhanced diffusion processes in which random walkers perform L\'evy flights and apply it for global optimization. L\'evy flights offer controlled balance between exploitation and exploration. We develop four optimization algorithms based on such properties. We compare new algorithms with the well-known Simulated Annealing on hard test functions and the results are very promising.
Cite
@article{arxiv.1407.5739,
title = {Global optimization using L\'evy flights},
author = {Truyen Tran and Trung Thanh Nguyen and Hoang Linh Nguyen},
journal= {arXiv preprint arXiv:1407.5739},
year = {2014}
}
Comments
12 pages, 6 figures, 4 algorithms,Proceedings of Second National Symposium on Research, Development and Application of Information and Communication Technology (ICT.rda'04), Hanoi, Sept 24-25, 2004