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Chaotic Harris hawks optimization algorithm [PDF]
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
exaly +3 more sources
Harris hawks optimization: Algorithm and applications [PDF]
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
exaly +3 more sources
Some of the next articles are maybe not open access.
Harris Hawks optimization with information exchange
Applied Mathematical Modelling, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaoning Peng, Chiwen Qu
exaly +2 more sources
Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design [PDF]
Venkatachalam K +2 more
exaly +2 more sources
Solar-Based DG Allocation Using Harris Hawks Optimization While Considering Practical Aspects
Energies, 2021Elangovan D +2 more
exaly
Parameter Optimization of Support Vector Regression Using Harris Hawks Optimization
Procedia Computer Science, 2021Rezzy Eko Caraka +2 more
exaly

