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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhuoran Xu Polojarvi, M. Yamamoto, M. Furukawa, M. |
| Copyright Year | 2013 |
| Description | Author affiliation: Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan (Zhuoran Xu; Yamamoto, M.; Furukawa, M.) || Intell. Syst. Group, Univ. of Oulu, Oulu, Finland (Polojarvi, M.) |
| Abstract | Multimodal optimization aims to discover all or most optima as opposed to only the best optimum. Evolutionary Algorithms provide a natural advantage in this field, because they are population based. However, Standard Evolutionary Algorithms tend to converge only to a single optimum. The radius-based niching evolutionary algorithms aim to solve this problem. However, they are criticized for the difficulty of the proper choice of the radius parameter. Detect-multimodal method does not necessitate using the radius parameter. It separates niches by detecting if two solutions are in same optimum. Although robust, the current detect-multimodal based niching method are computationally expensive. Inspired by the idea of combining radius-based niching method and detect-multimodal based niching method, we propose the Attraction Basin Estimating Genetic Algorithm (ABE) in this paper. It estimates the radius which is called attraction basin in this paper using detect-multimodal method, and use the estimated radius to separate species in the same way as radius-based method. We compare the proposed method with a detect-multimodal based method: Topological Species Conservation Algorithm. The experiments demonstrate that ABE has the similar ability to solve multimodal optimization problems as Topological Species Conservation, but significantly more efficiently. |
| Starting Page | 333 |
| Ending Page | 340 |
| File Size | 820813 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479904532 |
| e-ISBN | 9781479904549 |
| e-ISBN | 9781479904525 |
| DOI | 10.1109/CEC.2013.6557588 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-20 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sociology Statistics Accuracy Estimation Educational institutions Evolutionary computation Optimization |
| Content Type | Text |
| Resource Type | Article |
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