Results 31 to 40 of about 1,730 (172)
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
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A novel hybrid algorithm based on Harris Hawks for tumor feature gene selection [PDF]
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
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The hybridized Harris hawk optimization and slime mould algorithm
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
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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
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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
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Literature Review of Harris Hawk Optimization Algorithm
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.
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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.
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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
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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
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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

