Results 11 to 20 of about 8,834 (223)

A Fractional Order Control Strategy for LFC via Big Bang Big Crunch & Grey Wolf Optimization Algorithms [PDF]

open access: yesE3S Web of Conferences, 2020
The Grey Wolf Optimization (GWO) is well known meta-heuristic algorithm and has been previously used for optimization of various conventional PID and FOPID controllers.
Padhan Dola Gobinda   +2 more
doaj   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

open access: yesIET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi   +4 more
wiley   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

open access: yesIET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh   +4 more
wiley   +1 more source

An Enhanced Grey Wolf Optimization Algorithm for Photovoltaic Maximum Power Point Tracking Control Under Partial Shading Conditions

open access: yesIEEE Open Journal of the Industrial Electronics Society, 2022
A partial shading condition (PSC) is one of the most common problems in the photovoltaic (PV) system. It causes the output power of a PV system drastically decrease.
Ibrahim Saiful Millah   +5 more
doaj   +1 more source

Grey Wolf Cuckoo Search Algorithm for Training Feedforward Neural Network and Logic Gates Design [PDF]

open access: yes, 2023
This paper presents a new hybrid Swarm Intelligence (SI) algorithm based on the Cuckoo Search Algorithm (CSA) and Grey Wolf Optimizer (GWO) called the Grey Wolf Cuckoo Search (GWCS) algorithm. The GWCS algorithm extracts and combines CSA and GWO features
Layak Ali, et al.
core   +2 more sources

A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm

open access: yesSensors, 2020
Grey wolf optimizer (GWO) is a meta-heuristic algorithm inspired by the hierarchy of grey wolves (Canis lupus). Fireworks algorithm (FWA) is a nature-inspired optimization method mimicking the explosion process of fireworks for optimization problems ...
Zhihang Yue, Sen Zhang, Wendong Xiao
doaj   +1 more source

Hybridization of Grey Wolf Optimizer and Crow Search Algorithm Based on Dynamic Fuzzy Learning Strategy for Large-Scale Optimization

open access: yesIEEE Access, 2020
A novel optimization algorithm named hybrid grey wolf optimizer with crow search algorithm (GWO-CSA) is developed in this paper for handling large-scale numerical optimization problems.
Rizk Masoud Rizk-Allah   +2 more
doaj   +1 more source

Hybrid Strategy Improved Grey Wolf Optimization Algorithm for Plume Tracking and Localization Method in Indoor Weak Wind Environment

open access: yesIEEE Access, 2022
Reliable tracking of the plume by the robot is the key to achieving plume source localization. To address the problem of low success rate and long search time of robot source location due to the unavailability of reliable information on gas diffusion ...
Xiaoqiang Jin   +3 more
doaj   +1 more source

Multi-objective Economic Emission Load Dispatch using Grey Wolf Optimization [PDF]

open access: yes, 2016
This paper presents grey wolf optimization method for solving multi-objective economic emission load dispatch (EELD) problem in diverse test power systems. Grey Wolf Optimization (GWO) is a new meta-heuristic motivated from grey wolf.
Chopra, N. (Nitish)   +2 more
core   +1 more source

Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence

open access: yesAdvances in Civil Engineering, 2021
This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-ELM model, to train and predict the ground subsidence by combining the extreme learning machine with the grey wolf optimization algorithm.
Qiao Shi-fan   +6 more
doaj   +1 more source

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