Results 21 to 30 of about 1,122 (127)
The use of the biological algorithm in solving applied mechanics design problems [PDF]
Scientific Technical Review, 2021 Biologically inspired algorithms are becoming powerful in modern optimization. In this paper, the principles of a metaheuristic algorithm based on Harris hawks behavior are shown. The Harris Hawks Optimizer (HHO in short) was used for solving problems in
Milenković Branislav +1 more
doaj +1 more source
A modified Dung Beetle optimizer for combined heat and power economic dispatch considering power losses, valve-point effects, and operating constraints [PDF]
Scientific ReportsThe Combined Heat and Power Economic Dispatch (CHPED) problem represents a significant optimization challenge in modern power systems due to its inherent complexity arising from multiple operational constraints.
Mahmoud Rihan +7 more
doaj +2 more sources
Power system oscillation damping controller design: a novel approach of integrated HHO-PSO algorithm [PDF]
Archives of Control Sciences, 2021 The hybridization of a recently suggested Harris hawk’s optimizer (HHO) with the traditional particle swarm optimization (PSO) has been proposed in this paper.
Ramesh Devarapalli, Vikash Kumar
doaj +1 more source
Journal of Electrical Systems and Information Technology, 2021 Conventional unit commitment problem (UCP) consists of thermal generating units and its participation schedule, which is a stimulating and significant responsibility of assigning produced electricity among the committed generating units matter to ...
Ayani Nandi, Vikram Kumar Kamboj
doaj +1 more source
HHO-LPWSN: Harris Hawks Optimization Algorithm for Sensor Nodes Localization Problem in Wireless Sensor Networks [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2021 Wireless sensor network (WSN) is a prominent technology for remote area monitoring with the assimilation of the Internet of Things (IoT). Over the past decades, sensor node localization has become an essential challenge of WSNs.
Ravi Sharma, Shiva Prakash
doaj +1 more source
Applied Sciences, 2020 In this paper, we propose an inverse optimal neural control strategy for uncertain nonlinear systems subject to external disturbances. This control strategy is developed based on a neural observer for the estimation of unmeasured states and inverse ...
Roxana Recio-Colmenares +2 more
doaj +1 more source
Hybrid Binary Grey Wolf With Harris Hawks Optimizer for Feature Selection
IEEE Access, 2021 Despite Grey Wolf Optimizer's (GWO) superior performance in many areas, stagnation in local optima areas may still be a concern. Several significant GWO factors can be explored to enhance the performance of selection in classification, with two ...
Ranya Al-Wajih +4 more
doaj +1 more source
IEEE Access, 2020 Harris Hawks Optimization (HHO) algorithm is a new metaheuristic algorithm, inspired by the cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce.
Zenab Mohamed Elgamal +4 more
doaj +1 more source
Scientific Reports, 2023 The grey wolf optimizer is an effective and well-known meta-heuristic algorithm, but it also has the weaknesses of insufficient population diversity, falling into local optimal solutions easily, and unsatisfactory convergence speed. Therefore, we propose
Binbin Tu +3 more
doaj +1 more source
IEEE Access, 2022 This paper presents a new hybrid metaheuristic algorithm, the hybrid Harris Hawks Optimizer-Arithmetic Optimization Algorithm (hHHO-AOA), as we have named it. It is proposed for sizing optimization and design of autonomous microgrids. The proposed hybrid
Ipek Cetinbas +2 more
doaj +1 more source