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A Hybrid Vector Artificial Physics Optimization with One-Dimensional Search Method

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4 Author(s)
Gangjun Yang ; Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xi''an, China ; Liping Xie ; Ying Tan ; Jianchao Zeng

The direction of each individual velocity vector is very useful information for search in Artificial Physics Optimization (APO) algorithm. APO's simple way to dealing with the errant individual exceeded the lower or upper bounds constrains changes the direction of its motion vector. A shrinkage coefficient is introduced to ensure that each individual is within the decision space without changing its direction. One-dimensional search method is merged into the vector model of APO (VM-APO) to improve its local search capability. The simulation results confirm that the performance of the hybrid vector APO with one-dimensional search method is effective.

Published in:

Computational Aspects of Social Networks (CASoN), 2010 International Conference on

Date of Conference:

26-28 Sept. 2010

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