Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4633101 | Applied Mathematics and Computation | 2009 | 14 Pages |
Abstract
A stochastic global optimization method based on Multistart is presented. In this, the local search is conditionally applied with a probability that takes in account the topology of the objective function at the detail offered by the current status of exploration. As a result, the number of unnecessary local searches is drastically limited, yielding an efficient method. Results of its application on a set of common test functions are reported, along with a performance comparison against other established methods of similar nature.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
C. Voglis, I.E. Lagaris,