An adaptive instinctive reaction strategy based on Harris hawks optimization algorithm for numerical optimization problems
An adaptive Harris hawks optimization (HHO) algorithm is proposed to solve the non-linearly constrained optimization problems. The algorithm, namely, instinctive reaction strategy based on HHO (IRSHHO), combines the instinctive reaction strategy (IRS) with the HHO algorithm. In IRSHHO, the increment...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2021-02-01
|
| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0035635 |
| _version_ | 1818846532457201664 |
|---|---|
| author | Yongliang Yuan Jianji Ren Jinxue Zu Xiaokai Mu |
| author_facet | Yongliang Yuan Jianji Ren Jinxue Zu Xiaokai Mu |
| author_sort | Yongliang Yuan |
| collection | DOAJ |
| description | An adaptive Harris hawks optimization (HHO) algorithm is proposed to solve the non-linearly constrained optimization problems. The algorithm, namely, instinctive reaction strategy based on HHO (IRSHHO), combines the instinctive reaction strategy (IRS) with the HHO algorithm. In IRSHHO, the increment of step length decreases with the increase in the iteration. Moreover, the energy of the prey is also considered to speed up the convergence in each iteration. The performance of the IRSHHO is investigated on five benchmark numerical examples. The results of IRSHHO provide very competitive results compared to other well-known algorithms. Furthermore, the IRSHHO is applied to optimize the auto drum fashioned brake problem. Results show that the IRSHHO can obtain the optimal solution with the braking efficiency factor that is increased by 27.872% from the initial design with the proposed IRSHHO method. |
| first_indexed | 2024-12-19T05:47:03Z |
| format | Article |
| id | doaj.art-0edc353f5f4e4ad0a9fe26616b106529 |
| institution | Directory Open Access Journal |
| issn | 2158-3226 |
| language | English |
| last_indexed | 2024-12-19T05:47:03Z |
| publishDate | 2021-02-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj.art-0edc353f5f4e4ad0a9fe26616b1065292022-12-21T20:33:47ZengAIP Publishing LLCAIP Advances2158-32262021-02-01112025012025012-1010.1063/5.0035635An adaptive instinctive reaction strategy based on Harris hawks optimization algorithm for numerical optimization problemsYongliang Yuan0Jianji Ren1Jinxue Zu2Xiaokai Mu3School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454003, ChinaSchool of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, ChinaLibrary of Henan Polytechnic University, Jiaozuo 454003, ChinaSchool of Mechanical Engineering, Dalian University of Technology, Dalian 116024, ChinaAn adaptive Harris hawks optimization (HHO) algorithm is proposed to solve the non-linearly constrained optimization problems. The algorithm, namely, instinctive reaction strategy based on HHO (IRSHHO), combines the instinctive reaction strategy (IRS) with the HHO algorithm. In IRSHHO, the increment of step length decreases with the increase in the iteration. Moreover, the energy of the prey is also considered to speed up the convergence in each iteration. The performance of the IRSHHO is investigated on five benchmark numerical examples. The results of IRSHHO provide very competitive results compared to other well-known algorithms. Furthermore, the IRSHHO is applied to optimize the auto drum fashioned brake problem. Results show that the IRSHHO can obtain the optimal solution with the braking efficiency factor that is increased by 27.872% from the initial design with the proposed IRSHHO method.http://dx.doi.org/10.1063/5.0035635 |
| spellingShingle | Yongliang Yuan Jianji Ren Jinxue Zu Xiaokai Mu An adaptive instinctive reaction strategy based on Harris hawks optimization algorithm for numerical optimization problems AIP Advances |
| title | An adaptive instinctive reaction strategy based on Harris hawks optimization algorithm for numerical optimization problems |
| title_full | An adaptive instinctive reaction strategy based on Harris hawks optimization algorithm for numerical optimization problems |
| title_fullStr | An adaptive instinctive reaction strategy based on Harris hawks optimization algorithm for numerical optimization problems |
| title_full_unstemmed | An adaptive instinctive reaction strategy based on Harris hawks optimization algorithm for numerical optimization problems |
| title_short | An adaptive instinctive reaction strategy based on Harris hawks optimization algorithm for numerical optimization problems |
| title_sort | adaptive instinctive reaction strategy based on harris hawks optimization algorithm for numerical optimization problems |
| url | http://dx.doi.org/10.1063/5.0035635 |
| work_keys_str_mv | AT yongliangyuan anadaptiveinstinctivereactionstrategybasedonharrishawksoptimizationalgorithmfornumericaloptimizationproblems AT jianjiren anadaptiveinstinctivereactionstrategybasedonharrishawksoptimizationalgorithmfornumericaloptimizationproblems AT jinxuezu anadaptiveinstinctivereactionstrategybasedonharrishawksoptimizationalgorithmfornumericaloptimizationproblems AT xiaokaimu anadaptiveinstinctivereactionstrategybasedonharrishawksoptimizationalgorithmfornumericaloptimizationproblems AT yongliangyuan adaptiveinstinctivereactionstrategybasedonharrishawksoptimizationalgorithmfornumericaloptimizationproblems AT jianjiren adaptiveinstinctivereactionstrategybasedonharrishawksoptimizationalgorithmfornumericaloptimizationproblems AT jinxuezu adaptiveinstinctivereactionstrategybasedonharrishawksoptimizationalgorithmfornumericaloptimizationproblems AT xiaokaimu adaptiveinstinctivereactionstrategybasedonharrishawksoptimizationalgorithmfornumericaloptimizationproblems |