The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

The increasing trend toward using the Internet of Things (IoT) increased the number of
intrusions and intruders annually. Hence, the integration, confidentiality, and access to …

Feature selection (FS) is a critical step in data mining, and machine learning algorithms play
a crucial role in algorithms performance. It reduces the processing time and accuracy of the …

Harris hawks optimization (HHO) is a newly developed swarm-based algorithm and the most
popular optimizer in the recent year, which mimics the cooperation behavior of Harris hawks …

This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …

智能优化算法(IOA) 指的是一类以自然界的生物生存进化过程或物理现象为算法原理,
用于解决最优化问题的算法, 较为知名的智能优化算法有遗传算法, 粒子群算法 …

Abstract Travelling 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 …

In this study, the sizing optimization and design of an autonomous AC microgrid is
performed using the Harris Hawks Optimization (HHO) algorithm. The objective is to …

Harris hawks optimization (HHO) is a recently developed meta-heuristic optimization
algorithm based on hunting behavior of Harris hawks. Similar to other meta-heuristic …

A novel Harris hawks optimization algorithm is applied to microchannel heat sinks for the
minimization of entropy generation. In the formulation of the heat transfer model of the …