Results 21 to 30 of about 5,692 (245)

Deep computer vision with artificial intelligence based sign language recognition to assist hearing and speech-impaired individuals [PDF]

Scientific Reports
Sign language (SL) is a non-verbal language applied by deaf and hard-of-hearing individuals for daily communication between them. Studies in SL recognition (SLR) have recently become essential developments.
Abrar Almjally, Wafa Sulaiman Almukadi
doaj   +2 more sources

A multi-strategy framework for enhancing Harris hawks optimization for global optimization problems. [PDF]

Sci Rep
Al-Adwan S, Abdullah S, Alweshah M, Kassaymeh S, Al-Qaisi A, Takruri M, Ratan Singh WK.   +6 more
europepmc   +2 more sources

Thesis Defense Scheduling Optimization Using Harris Hawk Optimization [PDF]

Journal of Intelligent System and Computation
This research discusses how the Harris Hawk Optimization (HHO) algorithm handles scheduling problems. The scheduling of thesis defenses at the Institut Sains dan Teknologi Terpadu Surabaya (ISTTS) is a complex issue because it involves the availability ...
Dewi, Grace Levina, Dhaniswara, Erwin, Setiawan, Mikhael, Setiono, Kevin   +3 more
core   +6 more sources

Chaotic Harris hawks optimization algorithm [PDF]

Journal of Computational Design and Engineering, 2022
Abstract Harris hawks optimization (HHO) is a population-based metaheuristic algorithm, inspired by the hunting strategy and cooperative behavior of Harris hawks. In this study, HHO is hybridized with 10 different chaotic maps to adjust its critical parameters. Hybridization is performed using four different methods.
Harun Gezici, Haydar Livatyali
openaire   +2 more sources

Vehicle Routing Problems Based on Harris Hawks Optimization [PDF]

Journal of Big Data, 2021
Abstract The vehicle routing problem (VRP) is one of the challenging problems in optimization and can be described as combinatorial optimization and NP-hard problem. Researchers have used many artificial intelligence techniques in order to try to solve this problem. Among these techniques, metaheuristic algorithms that can perform random search
Mohammed Alweshah, Muder Almiani, Nedaa Almansour, Saleh Al Khalaileh, Hamza Aldabbas, Waleed Alomoush, Almahdi Alshareef   +6 more
openaire   +2 more sources

Binary Harris Hawk Optimization and Its Feature Selection Algorithm [PDF]

Jisuanji kexue, 2023
Harris Hawk optimization(HHO) algorithm only uses the random strategy to initialize the population in the exploration stage,which decreases the population diversity.The escape energy that controls the linear variation of the development and exploration ...
SUN Lin, LI Mengmeng, XU Jiucheng
doaj   +1 more source

Aero-Engine Rotor Assembly Process Optimization Based on Improved Harris Hawk Algorithm

Aerospace, 2022
Multi-stage disc rotor assembly is an important part of the aero-engine rotor manufacturing process. To solve the problem that excessive unbalance of assembly affects the vibration of the whole machine, this paper presents an optimization method for aero-
Bin Zhang, Hongyi Lu, Shun Liu, Yucheng Yang, Doudou Sang   +4 more
doaj   +1 more source

Hierarchical Harris hawks optimizer for feature selection

Journal of Advanced Research, 2023
The main feature selection methods include filter, wrapper-based, and embedded methods. Because of its characteristics, the wrapper method must include a swarm intelligence algorithm, and its performance in feature selection is closely related to the algorithm's quality.
Lemin Peng, Zhennao Cai, Ali Asghar Heidari, Lejun Zhang, Huiling Chen   +4 more
openaire   +3 more sources

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, Seyedali Mirjalili, Hossam Faris, Ibrahim Aljarah, Majdi M. Mafarja, Huiling Chen 0001   +5 more
openaire   +2 more sources

Harris Hawks Optimization with Multi-Strategy Search and Application [PDF]

Symmetry, 2021
The probability of the basic HHO algorithm in choosing different search methods is symmetric: about 0.5 in the interval from 0 to 1. The optimal solution from the previous iteration of the algorithm affects the current solution, the search for prey in a linear way led to a single search result, and the overall number of updates of the optimal position ...
Shangbin Jiao, Chen Wang 0114, Rui Gao, Yuxing Li 0001, Qing Zhang   +4 more
openaire   +1 more source