| Title: | OS2-1 Modified Quantum Particle Swarm Optimization for Chaos Synchronization |
|---|---|
| Publication: | ICAROB2016 |
| Volume: | 21 |
| Pages: | 48-51 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2016.OS2-1 |
| Author(s): | Chia-Nan Ko, Ching-I Lee |
| Publication Date: | January 29, 2016 |
| Keywords: | Quantum-behaved particle swarm optimization, Chaotic system, Genetic algorithm, Chaos synchronization, Hybrid evolution |
| Abstract: | In this study, a modified quantum-behaved particle swarm optimization (MQPSO) based on hybrid evolution (HEMQPSO) approach is proposed to synchronize chaotic systems, in which the proposed HEMQPSO algorithm combines the conceptions of genetic algorithm (GA) and adaptive annealing learning algorithm with the MQPSO algorithm to search optimal solutions. Simulation results are illustrated to verify the performance of chaos synchronization using the proposed HEMQPSO approach. From the numerical simulations and comparisons with other extant evolutionary methods in chaotic systems, the validity and superiority of the HEMQPSO approach are verified. |
| PDF File: | https://alife-robotics.co.jp/members2016/icarob/data/papers/OS/OS2-1.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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