| 英文标题 | Improved Yin-Yang-pair optimization algorithm |
| 作者英文名 | Li Dahai, Ai Zhigang, Wang Zhendong |
| 机构英文名 | School of Information Engineering,Jiangxi University of Science & Technology,Ganzhou Jiangxi 341000,China |
| 英文摘要 | Yin-Yang-pair optimization algorithm is a novel lightweight optimization algorithm, which uses the iterative exchange of two points(the global exploration point <i>P</i><sub>2</sub> and the local exploitation point <i>P</i><sub>1</sub>) to achieve the search of optimal solutions. The user defined parameters of the YYPO directly affect the balance of global exploration and local exploitation of the algorithm and impact the performance of the algorithm. In order to improve the optimization performance of the algorithm, this paper analyzed effects of the user-defined parameters(expansion/contraction factor <i>α</i>) to the performance of the original algorithm, then proposed the IYYPO algorithm. IYYPO adopted linear and non-linear strategy to gradually reduce user-defined parameters. This paper also used 28 test functions, which was the test benchmark of the competition of single objective real parameter algorithm in 2013 Evolutionary Computing Conference, as the testbench to evaluate the performance of three new algorithms. Compared with the original algorithm, experiment results illustrate that the proposed algorithm can archive higher accuracy and faster convergence speed. At last, this paper tested the improved algorithms in a practical optimization problem to show the performance of the improved algorithms. |
| 英文关键词 | Yin-Yang-pair optimization(YYPO); evolutionary computation; single objective optimization; parametric optimization |