Improved auto-tuning niching genetic algorithm combined with grouping concept for inverse problem
- Authors
- Kim, J-.K.; Jung, S.-Y.; Jung, H.-K.; Hahn, S.-Y.; Cho, D.-H.; Chung, T.-K.
- Issue Date
- Apr-2004
- Publisher
- IOS PRESS
- Keywords
- niching genetic algorithm; auto-tuning concept; grouping factor
- Citation
- INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, v.19, no.1-4, pp 561 - 566
- Pages
- 6
- Journal Title
- INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS
- Volume
- 19
- Number
- 1-4
- Start Page
- 561
- End Page
- 566
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65581
- DOI
- 10.1007/s00384-004-0591-7
- ISSN
- 1383-5416
1875-8800
- Abstract
- Niching genetic algorithm has been applied to the optimisation of multimodal function. In this paper, improved niching genetic algorithm using auto-tuning concept and grouping factor is proposed. Population size and niche radii can be determined automatically and similar solutions unified by grouping factor. This method can be applied to the complex function such as inverse problem.
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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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