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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhuo-Yue Song Gao, X.Z. Xian-Lin Hiang Lin, H.S. |
| Copyright Year | 2006 |
| Description | Author affiliation: Center for Control Theory & Guidance Technol., Harbin Inst. of Technol. (Zhuo-Yue Song) |
| Abstract | This paper proposes a modified immune optimization algorithm for the multi-modal problems. It is inspired by the clonal selection and antibody diversity maintaining principles in the immunology. Compared with the existing immune optimization algorithms, our new algorithm defines the concentration of the antibody to stand for the solution diversity, and the mutation rate is dynamically adjusted based on the antibody concentration and fitness. Moreover, this algorithm takes advantage of the clusters of antibodies. For each cluster, the elitist ones are always retained as the memory set. Therefore, an improved trade-off between the exploration and exploitation in the solution space can be achieved. A few multi-modal and high-dimension benchmark functions are utilized here to examine the efficiency of our optimization method. Performance comparisons are also made with the CLONALG and opt-aiNET. Simulation results demonstrate that this modified optimization algorithm can effectively obtain the optimal solutions, and still maintain the solution diversity, which is crucial for dealing with challenging real-world optimization problems |
| Sponsorship | IEEE Syst., Man and Cybernetics Hebei Univ. |
| Starting Page | 2184 |
| Ending Page | 2189 |
| File Size | 560872 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424400619 |
| DOI | 10.1109/ICMLC.2006.258617 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clustering algorithms Genetic mutations Immune system Cloning Control theory Power electronics Optimization methods Protection Problem-solving Pattern recognition Mutation rate Immune optimization algorithm Diversity Clonal selection Multi-modal optimization |
| Content Type | Text |
| Resource Type | Article |
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