Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6904796 | Applied Soft Computing | 2016 | 20 Pages |
Abstract
- A novel predictive measure that predicts which algorithm is best at any given point in time. Always select the predicted best algorithm to run for the next generation.
- The performance of our method is very competitive if viewed as another novel “individual” algorithm.
- A very interesting positive synergistic effect is found between algorithms in our method.
- A novel performance evaluation method that makes a lot of sense when one has an absolute maximum number of function evaluations allowed in your application.
- Application on a Heating Ventilation and Air Conditioning design problem demonstrates that the method can be used to solve real world problems with constraints and that it performs better than choosing an algorithm randomly.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Shiu Yin Yuen, Chi Kin Chow, Xin Zhang, Yang Lou,