An Improved Jaya Optimization Algorithm with Hybrid Logistic-Sine-Cosine Chaotic Map
Jaya optimization algorithm is a simple but powerful intelligence optimization method which has several outstanding characteristics of both population-based algorithms and swarm intelligence-based algorithms. It has shown great potentials to solve various hard and complex optimization problems, but...
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| Veröffentlicht in: | 2022 14th International Conference on Advanced Computational Intelligence (ICACI) S. 176 - 181 |
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15.07.2022
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| Abstract | Jaya optimization algorithm is a simple but powerful intelligence optimization method which has several outstanding characteristics of both population-based algorithms and swarm intelligence-based algorithms. It has shown great potentials to solve various hard and complex optimization problems, but there still has much room to improve its performance, especially for solving high-dimensional and non-convex problems. Hence, this paper proposes an improved Jaya optimization algorithm with a novel hybrid logistic-sine-cosine chaotic map, which is named IJaya for short. The hybrid logisticsine-cosine chaotic map is applied to balance the exploration and the exploitation processes of Jaya optimization algorithm. Seven benchmark testing functions with different scale settings are used to evaluate the performance of our improved algorithm. Computational results indicate that our improved Jaya optimization algorithm outperforms greatly its original version on most testing functions with high-dimensions. |
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| AbstractList | Jaya optimization algorithm is a simple but powerful intelligence optimization method which has several outstanding characteristics of both population-based algorithms and swarm intelligence-based algorithms. It has shown great potentials to solve various hard and complex optimization problems, but there still has much room to improve its performance, especially for solving high-dimensional and non-convex problems. Hence, this paper proposes an improved Jaya optimization algorithm with a novel hybrid logistic-sine-cosine chaotic map, which is named IJaya for short. The hybrid logisticsine-cosine chaotic map is applied to balance the exploration and the exploitation processes of Jaya optimization algorithm. Seven benchmark testing functions with different scale settings are used to evaluate the performance of our improved algorithm. Computational results indicate that our improved Jaya optimization algorithm outperforms greatly its original version on most testing functions with high-dimensions. |
| Author | Sun, Ying Zhang, Zhanbo Hou, Jing Lei, Weidong Lin, Yishuai Zhu, Jiawei |
| Author_xml | – sequence: 1 givenname: Weidong surname: Lei fullname: Lei, Weidong email: wlei@xust.edu.cn organization: Xi'an University of Science and Technology,School of Management,Xi'an,P.R. China,710054 – sequence: 2 givenname: Zhanbo surname: Zhang fullname: Zhang, Zhanbo email: 553234641@qq.com organization: Xi'an University of Science and Technology,School of Management,Xi'an,P.R. China,710054 – sequence: 3 givenname: Jiawei surname: Zhu fullname: Zhu, Jiawei email: jiawei.zhu@chd.edu.cn organization: Chang'an University,School of Information Engineering,Xi'an,P.R. China,710064 – sequence: 4 givenname: Yishuai surname: Lin fullname: Lin, Yishuai email: yslin@xidian.edu.cn organization: Xidian University,School of Computer Science and Technology,Xi'an,P.R. China,710071 – sequence: 5 givenname: Jing surname: Hou fullname: Hou, Jing email: 2865515025@qq.com organization: Xi'an University of Science and Technology,School of Management,Xi'an,P.R. China,710054 – sequence: 6 givenname: Ying surname: Sun fullname: Sun, Ying email: 309156213@qq.com organization: Xi'an University of Science and Technology,College of Computer Science and Technology,Xi'an,P.R. China,710054 |
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| Snippet | Jaya optimization algorithm is a simple but powerful intelligence optimization method which has several outstanding characteristics of both population-based... |
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| SubjectTerms | Benchmark testing Complexity theory Computational intelligence continuous optimization hybrid chaotic maps improved Jaya optimization algorithm intelligent optimization algorithm Optimization Optimization methods Sociology Statistics swarm intelligence |
| Title | An Improved Jaya Optimization Algorithm with Hybrid Logistic-Sine-Cosine Chaotic Map |
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