Enhanced grey wolf optimizer
WebApr 1, 2024 · An enhanced grey wolf optimizer is developed. • The search bias towards the origin of the coordinate system is well settled. • The main feature of the social … WebNov 22, 2024 · Enhanced grey wolf optimizer with a model for dynamically estimating the location of the prey. Applied Soft Computing. 2024,77 :225-235. Test problem: Pressure vessel design Example Output: Compared with the GWO on the shifted functions Shifted sphere function The best value found by the GWO is 1.000035678101285e-08.
Enhanced grey wolf optimizer
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Webhas been proposed by [12]. Recently, a powerful variant of Grey Wolf Optimizer named as β-GWO has been presented and evaluated on many real and challenging problems. The prime objective of writing this paper is to evaluate the performance of the variant on PSP. On the basis of the review, following investigation objectives are framed for this ... WebMar 1, 2024 · Section snippets Grey wolf optimizer (GWO) Grey wolves are social animals with strict social hierarchy. They are generally divided into four levels, namely, α, β, δ and ω, and their social hierarchy goes down from top to bottom as shown in Fig. 3.The mathematical modelling of GWO is based on the social hierarchy and hunting behaviour …
WebApr 12, 2024 · A grey wolf optimizer for optimum parameters of multiple PI controllers of a grid-connected PMSG driven by variable speed wind turbine. IEEE Access 6 , 44120–44128 (2024). Web@article{Miao2024GreyWO, title={Grey wolf optimizer with an enhanced hierarchy and its application to the wireless sensor network coverage optimization problem}, author={Zhaoming Miao and Xianfeng Yuan and Fengyu Zhou and Xuanjie Qiu and Yong Song and Ke Chen}, journal={Appl. Soft Comput.}, year={2024}, volume={96}, …
WebAbstractThe grey-wolf optimizer (GWO) is a comparatively recent and competent algorithm in Swarm Intelligence (SI) to solve numerical and real-world optimization problems. ... Jain A Nagar S Singh PK Dhar J Emucf: enhanced multistage user-based collaborative filtering through non-linear similarity for recommendation systems Expert Syst Appl ... WebAiming at the difficulty of deploying wireless sensor networks (WSNs) on three-dimensional (3D) surfaces, based on the grey wolf optimizer (GWO), an enhanced version of the grey wolf optimizer is proposed for deploying WSNs on 3D surfaces, namely the enhanced grey wolf optimizer (EGWO), which is characterized by enhanced exploitation and …
WebAug 7, 2024 · An Enhanced Grey Wolf Optimizer (EGWO) is proposed to solve the problem that the population diversity of the grey wolf algorithm decreases in the late iteration and it is easy to fall into local extremum. Firstly, a nonlinear convergence factor of cosine function is proposed to balance global search and local search; secondly, chaotic …
WebNov 19, 2024 · Grey wolf optimization (GWO) is a widely used meta-heuristic method. It has limited searching potential when solving the majority of function optimization problems. … intelligent standby list cleaner คือWebJan 24, 2024 · This paper proposes a novel variant of the Grey Wolf Optimization (GWO) algorithm, named Velocity-Aided Grey Wolf Optimizer (VAGWO). The original GWO … intelligent storage systems units such as emcWebMalware Detection on IoT devices using Grey Wolf Optimization-MKSVM. In this project, we use Grey Wolf Optimization for feature selection and multi-kernel SVM for classification of a dataset. Two kernels of BFR and Linear are used, and you can change the kernels if you want (in MultiKernelSVM.py). intelligent standby list cleaner redditWebApr 14, 2024 · Various hybrid algorithms, i.e., Particle Swarm Optimization Grey Wolf Optimizer (PSOGWO) and Grey Wolf Optimizer ... Alsharif, M.H.; Kim, M.-K. Sustainable development of fuel cell using enhanced weighted mean of vectors algorithm. Heliyon 2024, 9, e14578. [Google Scholar] Zhao, H.; Zhang, C. An online-learning-based evolutionary … john b jones texas rangerWebFeb 1, 2024 · Grey wolf optimizer (GWO) algorithm is a relatively novel population-based optimization technique that has the advantage of less control parameters, strong global optimization ability and easy of implementation. It has received significant interest from researchers in different fields. ... Exploration-enhanced grey wolf optimizer algorithm3.1. john b keane the fieldWebTherefore, a grey wolf optimizer with enhanced hierarchy (GWO-EH) is proposed to overcome these deficiencies. Firstly, fitness-based self-adaptive weight coefficients are introduced to better imitate the hierarchy of the grey wolves, which also have a positive effect on the convergence speed. Then, we propose an improved position-updating ... john b kelly school philadelphiaWebYang, Y., Yang, B., Wang, S., Jin, T., & Li, S. (2024). An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing. john b keane children