Results 31 to 40 of about 5,490 (253)
Implementation of Harris Hawks optimization for load frequency control of hydropower plant [PDF]
, 2022 Hydropower has been used for many years and is essential to meet the renewable energy ambition of the world at present. In a hydroelectric power plant, voltage and frequency control are required, but, the voltage control could be done on the load side ...
Kumar, Lagudu Venkata Suresh +5 more
core +3 more sources
Injuries in the Chinese Arena Football League: American Versus Chinese Players. [PDF]
, 2018 Background: Arena football is an indoor version of American football played in indoor arenas on a smaller field with 8 players per team. Only 1 study has evaluated injury rates in arena football, and no study had compared 2 distinct cohorts of players ...
Chen, Shiyi +7 more
core +2 more sources
Harris Hawk optimization algorithm with combined perturbation strategy and its application. [PDF]
Sci RepSolving complex engineering optimization problems can improve design quality, reduce costs, and enhance performance and reliability. However, these problems are often nonlinear, non-convex, and multimodal. The Harris Hawk Optimization (HHO) algorithm has limitations such as poor exploration-exploitation balance, tendency to fall into local optima, slow
Wang Z, Wei X.
europepmc +3 more sources
Discrete Dynamics in Nature and Society, 2022 Aiming at the shortcomings of the Harris hawks optimization algorithm (HHO), such as poor initial population diversity, slow convergence speed, poor local optimization ability, and easily falling into local optimum, a Harris hawks optimization algorithm (
Lei Wen +4 more
doaj +1 more source
Journal of King Saud University: Computer and Information Sciences, 2022 The detection of Brain cancer is an essential process, which is based on the clinician’s knowledge and experience. An automatic tumor classification model is important to handle radiologists to detect the brain tumors.
D. Rammurthy, P.K. Mahesh
doaj +1 more source
Energy Harvesting Wireless Sensor Network (Eh-Wsn) Based Modified Negatively Correlated Search Algorithm For Non-Convex Optimization Problems [PDF]
, 2021 Network resource allotment is a significant concern for designing energy harvesting wireless sensor networks (EHWSNs). So, in this manuscript, Modified Negatively Correlated Search by Harris Hawks Optimization (MNCSHHO) algorithm is proposed for EH-WSNs ...
et. al., Maddali M.V.M. Kumar,
core +1 more source
IEEE Access, 2020 In this paper, improved single- and multi-objective Harris Hawks Optimization algorithms, called IHHO and MOIHHO, respectively are proposed and applied for determining the optimal placement of distribution generation (DG) in the radial distribution ...
Ali Selim +3 more
doaj +1 more source
The hybridized Harris hawk optimization and slime mould algorithm
Journal of Physics: Conference Series, 2020 Abstract Both the Harris hawk optimization (HHO) algorithm proposed in 2016 and the slime moud algorithm proposed recently had complicated disciplines for individuals to update their positions. And both of them were proved to be capable of finding the best solutions for either benchmark functions or real engineering problems.
Juan Zhao, Zheng-Ming Gao
openaire +1 more source
Piecewise Linear map enabled Harris Hawk optimization algorithm
Journal of Physics: Conference Series, 2021 Abstract Chaotic maps were usually introduced to improve the original swarm-based nature-inspired algorithms. Due to their chaotic characteristics, the chaotic maps were introduced to replace the pseudo random numbers in computer engineering and consequently better performance would be achieved.
Juan Zhao, Zheng-Ming Gao, Yujun Zhang
openalex +2 more sources
A novel hybrid algorithm based on Harris Hawks for tumor feature gene selection [PDF]
PeerJ Computer Science, 2023 Background Gene expression data are often used to classify cancer genes. In such high-dimensional datasets, however, only a few feature genes are closely related to tumors.
Junjian Liu +6 more
doaj +2 more sources