Results 31 to 40 of about 1,730 (172)

Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches

open access: yesIEEE 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

A novel hybrid algorithm based on Harris Hawks for tumor feature gene selection [PDF]

open access: yesPeerJ 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

The hybridized Harris hawk optimization and slime mould algorithm

open access: yesJournal 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

A meliorated Harris Hawks optimizer for combinatorial unit commitment problem with photovoltaic applications

open access: yesJournal of Electrical Systems and Information Technology, 2021
Conventional unit commitment problem (UCP) consists of thermal generating units and its participation schedule, which is a stimulating and significant responsibility of assigning produced electricity among the committed generating units matter to ...
Ayani Nandi, Vikram Kumar Kamboj
doaj   +1 more source

Identification method for disturbance signal of power quality based on improve Harris Hawks optimization-support vector machine

open access: yesZhejiang dianli, 2023
Aiming at the problems that the penalty factor and kernel function parameters of SVM(support vector machine) are easy to fall into the local optimal solution in the optimization process and the Harris Hawks optimization algorithm is easy to fall into the
CHEN Xiaohua   +6 more
doaj   +1 more source

Literature Review of Harris Hawk Optimization Algorithm

open access: yesINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022
The Harris Hawks Optimizer is a revolutionary population-based, nature-inspired optimization methodology proposed in this paper (HHO). The cooperative behaviour and pursuit manner of Harris' hawks in nature, known as surprise pounce, is the fundamental inspiration for HHO.
openaire   +1 more source

Optimized RNN-oriented power quality enhancement and THD reduction for micro grid integration of PV system with MLI: Crow Search-based Harris Hawks Optimization concept

open access: yesFrontiers in Energy Research, 2022
Grid-connected Photo Voltaic (PV) power systems are becoming increasingly popular in several nations. The goal of achieving maximum power and acceptable power quality in a grid-connected PV power system is considered a major difficulty. Hence, this paper
Praveena A., Sathishkumar K.
doaj   +1 more source

The Hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm: A New Hybrid Algorithm for Sizing Optimization and Design of Microgrids

open access: yesIEEE Access, 2022
This paper presents a new hybrid metaheuristic algorithm, the hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm (hHHO-AOA), as we have named it. It is proposed for sizing optimization and design of autonomous microgrids. The proposed hybrid
Ipek Cetinbas   +2 more
doaj   +1 more source

Optimal Neural Tracking Control with Metaheuristic Parameter Identification for Uncertain Nonlinear Systems with Disturbances

open access: yesApplied Sciences, 2020
In this paper, we propose an inverse optimal neural control strategy for uncertain nonlinear systems subject to external disturbances. This control strategy is developed based on a neural observer for the estimation of unmeasured states and inverse ...
Roxana Recio-Colmenares   +2 more
doaj   +1 more source

Multiobjective Simulation–Optimization of Crop Allocation and Water Resources in Canal Command Areas Using Genetic Algorithms

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra   +2 more
wiley   +1 more source

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