| Title: |
Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum. |
| Authors: |
Zhang, Shichao; Jarvis, Ray; Temby, Luke1; Vamplew, Peter1; Berry, Adam1 |
| Source: |
AI 2005: Advances in Artificial Intelligence. 2005, p1108-1111. 4p. |
| Abstract: |
Directed mutation has been proposed for improving the convergence speed of GAs on problems involving real-valued alleles. This paper proposes a directed mutation approach based on the momentum term used in gradient descent training of neural networks. Mutation-with-momentum is compared against gaussian mutation and is shown to regularly result in improvements in performance during early generations. A hybrid of momentum and gaussian mutation is shown to outperform either individual approach to mutation. [ABSTRACT FROM AUTHOR] |
| Database: |
Supplemental Index |