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Harris hawks optimization: Algorithm and applications [PDF]
Future Generation Computer Systems, 2019 Abstract In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the cooperative behavior and chasing style of Harris’ hawks in nature called surprise pounce.
Ali Asghar Heidari +2 more
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Compact Harris Hawks Optimization Algorithm
2021 40th Chinese Control Conference (CCC), 2021The 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
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A robust multiobjective Harris’ Hawks Optimization algorithm for the binary classification problem
Knowledge-Based Systems, 2021Abstract 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 Dokeroglu +2 more
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A New Harris Hawk Whale Optimization Algorithm for Enhancing Neural Networks
2021 Thirteenth International Conference on Contemporary Computing (IC3-2021), 2021The 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
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An improved Harris Hawks Optimization algorithm for continuous and discrete optimization problems
Engineering Applications of Artificial Intelligence, 2022Harris Hawks Optimization (HHO) is a population-based meta-heuristic optimization algorithm that has been used for the solution of test functions and real-world problems by many researchers. However, HHO has a premature convergence problem. The main motive of the novel approach in this paper is that the performance of an MHA could be improved by ...
HARUN GEZICI, Haydar Livatyali
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Harris Hawks Optimization Algorithm for Waveguide Filter Designs
2020 IEEE Asia-Pacific Microwave Conference (APMC), 2020We 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
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An efficient harris hawk optimization algorithm for solving the travelling salesman problem
Cluster Computing, 2021Travelling Salesman Problem (TSP) is an Np-Hard problem, for which various solutions have been offered so far. Using the Harris Hawk Optimization (HHO) algorithm, this paper presented a new method that uses random-key encoding to generate a tour.
Farhad Soleimanian Gharehchopogh +1 more
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Modified Harris Hawks Optimization Algorithm for Global Optimization Problems
Arabian Journal for Science and Engineering, 2020The 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 ...
Xizhao Zhou, Po-Chou Shih
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A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection
Artificial Intelligence Review, 2020The significant growth of modern technology and smart systems has left a massive production of big data. Not only are the dimensional problems that face the big data, but there are also other emerging problems such as redundancy, irrelevance, or noise of the features. Therefore, feature selection (FS) has become an urgent need to search for the optimal
Mohamed Abdel-Basset +2 more
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An improved Harris Hawk algorithm based on Golden Sine mechanism
2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2021Harris Hawk algorithm has received a lot of attention due to its few control parameters, simplicity and practicality. However, there are still some shortcomings, such as the problem of slow convergence, and hard to maintain the balance between exploration and exploitation when dealing with complex multimodal problems. Therefore, we introduce the golden
Yu-Xian Duan, Chang-Yun Liu
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