Results 131 to 140 of about 1,730 (172)

Cerchar abrasiveness index prediction based on rock properties leveraging hybrid soft computing techniques. [PDF]

open access: yesSci Rep
Rouhani MM   +5 more
europepmc   +1 more source

Modified Harris Hawks Optimization Algorithm for Global Optimization Problems

Arabian Journal for Science and Engineering, 2020
The Harris hawks optimization algorithm (HHO) is a novel swarm-based meta-heuristic algorithm. In this study, a modified Harris hawks optimization algorithm (MHHO) is proposed to enhance the searching performance of the conventional HHO. Past studies have revealed that different adjustment strategies of important variables in meta-heuristic algorithm ...
Po-Chou Shih, Xizhao Zhou
exaly   +2 more sources

An island parallel Harris hawks optimization algorithm

Neural Computing and Applications, 2022
The Harris hawk optimization (HHO) is an impressive optimization algorithm that makes use of unique mathematical approaches. This study proposes an island parallel HHO (IP-HHO) version of the algorithm for optimizing continuous multi-dimensional problems for the first time in the literature.
Dokeroglu, Tansel, Sevinc, Ender
openaire   +2 more sources

Compact Harris Hawks Optimization Algorithm

2021 40th Chinese Control Conference (CCC), 2021
The intelligent optimization algorithm performs well in solving complex optimization problems in engineering. However, the intelligent optimization algorithm usually takes long execution time and large memory usage, which is not suitable for the engineering with limited hardware conditions.
Zhihao Yu, Jialu Du, Guangqiang Li
openaire   +1 more source

A robust multiobjective Harris’ Hawks Optimization algorithm for the binary classification problem

Knowledge-Based Systems, 2021
Abstract The Harris’ Hawks Optimization (HHO) is a recent metaheuristic inspired by the cooperative behavior of the hawks. These avians apply many intelligent techniques like surprise pounce (seven kills) while they are catching their prey according to the escaping patterns of the target.
Tansel Dökeroglu   +2 more
openaire   +1 more source

A New Harris Hawk Whale Optimization Algorithm for Enhancing Neural Networks

2021 Thirteenth International Conference on Contemporary Computing (IC3-2021), 2021
The learning process of artificial neural-networks is considered as one of the burdensome challenges to the researchers. The major dilemma of training the neural networks is the nonlinear nature and unknown controlling parameters like weights and biases. Slow convergence and trap in local optima are demerits of training neural network algorithms.
Parul Agarwal   +4 more
openaire   +1 more source

Harris Hawks Optimization Algorithm for Waveguide Filter Designs

2020 IEEE Asia-Pacific Microwave Conference (APMC), 2020
We apply a novel algorithm, Harris Hawks optimization (HHO), to the optimization problem of waveguide filters. In order to investigate the efficiency, particle swarm optimization(PSO), differential evolution(DE), and self-adaptive differential optimization(SaDE) are considered to optimize a fourth-order dual-mode waveguide filter as well.
Pei-Wen Shu, Qing-Xin Chu, Jian-Ye Mai
openaire   +1 more source

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