| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4631134 | Applied Mathematics and Computation | 2011 | 7 Pages |
Abstract
An implementation of Central Force Optimization (CFO) utilizing variable initial probes and decision space adaptation is presented. The algorithm is tested against a suite of benchmark functions and CFO’s results compared to those of other algorithms. CFO performs well against the benchmarks, and also in scalability tests in 300-dimensions.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Richard A. Formato,