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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dongcai Su Junwei Dong Zuduo Zheng |
| Copyright Year | 2009 |
| Description | Author affiliation: Bradley Department of Electrical & Computer Engineering, Virginia Polytechnic Institute and State University, 22043, USA (Junwei Dong) || Department of Civil & Environmental Engineering, Hohai University and Arizona State University, 1115 E. Lemon St. 401 E Apt., Tempe, 85281 USA (Zuduo Zheng) || School of Communications, Jilin University, Changchun, 130021, China (Dongcai Su) |
| Abstract | In this paper we develop and test a novel stochastic algorithm SNE (Shrinking Neighborhood Evolution) based on the issue of bound constrained optimization problem. Its heuristic strategy is simple and direct-related to the search region of the solving problem based on the concept of “k-box-neighborhood” -defined in this paper. Our numerical experiments show that the optimization capability of SNE is competing to other congeneric algorithms such as Particle Swarm Optimizer (PSO), Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) and Differential Evolution (DE). The new method requires few control parameters, easy to use, and has promising potentials to parallel computation. |
| Starting Page | 3300 |
| Ending Page | 3305 |
| File Size | 200369 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424429585 |
| DOI | 10.1109/CEC.2009.4983363 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-18 |
| Publisher Place | Norway |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stochastic processes Ant colony optimization Evolution (biology) Particle swarm optimization Constraint optimization Testing Covariance matrix Genetic algorithms Genetic programming Genetic engineering nonlinear optimization Global optimization unconstrained optimization stochastic optimization |
| Content Type | Text |
| Resource Type | Article |
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