Export Mendeley
＜conference paper＞
Accelerating Evolutionary Computation Using Estimated Convergence Points
| Creator | |
|---|---|
| Language | |
| Publisher | |
| Date | |
| Source Title | |
| Vol | |
| First Page | |
| Last Page | |
| Publication Type | |
| Access Rights | |
| Related DOI | |
| Related URI | |
| Relation | |
| Abstract | We use the convergence points estimated by our proposed method as elite individuals for evolutionary computation and evaluate the acceleration effect and analyze the effect and computational cost. The... worst individuals in population are replaced with the convergence points estimated from the moving vectors between parent individuals and their offspring; i.e. these convergence points are used as elite individuals. Differential evolution (DE) and 14 benchmark functions are used in our evaluation experiments. The experimental results show that use of the estimated convergence points as elite can accelerate DE search in spite of the calculation cost of the convergence points. We finally analyze the components of the proposed estimation method to improve cost-performance.show more |
| Table of Contents | Ⅰ.INTRODUCTION Ⅱ.CONVERGENCE POINT ESTIMATION Ⅲ.EFFECT OF ESTIMATED CONVERGENCE POINT FOR ACCELERATING EVOLUTIONARY COMPUTATION Ⅳ.EXPERIMENTAL EVALUATIONS Ⅴ.DISCUSSIONS Ⅵ.CONCLUSION |
Hide fulltext details.
| File | FileType | Size | Views | Description |
|---|---|---|---|---|
CEC2016
|
772 KB | 450 |
Details
| Record ID | |
|---|---|
| Peer-Reviewed | |
| Subject Terms | |
| ISBN | |
| DOI | |
| Created Date | 2017.06.14 |
| Modified Date | 2021.10.06 |