Abstract
A novel optimization method called RasID-GA using Automatic Switching(an abbreviation of Adaptive Random Search with Intensification and Diversification combined with Genetic Algorithm using Automatic Switching) is proposed in order to enhance the searching ability of RasID. RasID-GA using Automatic Switching is compared with each conventional RasID and GA using 23 different objective functions, and it turns out that RasID-GA using Automatic Switching performs well compared with other methods.
| Original language | English |
|---|---|
| Pages | 28-34 |
| Number of pages | 7 |
| Publication status | Published - 2005 Dec 1 |
| Event | SICE Annual Conference 2005 - Okayama, Japan Duration: 2005 Aug 8 → 2005 Aug 10 |
Conference
| Conference | SICE Annual Conference 2005 |
|---|---|
| Country | Japan |
| City | Okayama |
| Period | 05/8/8 → 05/8/10 |
Keywords
- GA
- Global minimum
- Optimization
- RasID
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering
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Sohn, D., Hirasawa, K., & Hu, J. (2005). Adaptive random search with intensification and diversification combined with genetic algorithm using automatic switching. 28-34. Paper presented at SICE Annual Conference 2005, Okayama, Japan.