An adaptive instinctive reaction strategy based on Harris hawks optimization algorithm for numerical optimization problems
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Metaheuristic Optimization Algorithms Research · Advanced Multi-Objective Optimization Algorithms · Fractional Differential Equations Solutions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Power Engineering, Henan Polytechnic University 1 , Jiaozuo 454003, China
School of Computer Science and Technology, Henan Polytechnic University 2 , Jiaozuo 454003, China
Library of Henan Polytechnic University 3 , Jiaozuo 454003, China
School of Mechanical Engineering, Dalian University of Technology 4 , Dalian 116024, China
References (33)
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