Improved alpha-guided grey wolf optimizer

WitrynaAs one of the latest metaheuristic algorithms, grey wolf optimizer (GWO) is widely employed to settle real industrial issues because GWO maintains a balance between …

State trend prediction of hydropower units under different

Witryna1 mar 2024 · Improved Alpha-guided Grey wolf optimization (IA-GWO) The GWO is developed considering social hierarchical structure and hunting procedure of wolf … Witryna16 paź 2024 · Improved Grey Wolf Optimizer (I-GWO) The I-GWO algorithm benefits from a new movement strategy named dimension learning-based hunting (DLH) … graph theory nptel pdf https://p4pclothingdc.com

De-noising of salt and pepper noise using deep learning-based alpha …

WitrynaIn this paper, we present the identification of communities in dynamic networks as a multi-objective optimization problem, first improving the grey wolf optimization algorithm (Mirjalili, Mirjalili, and Lewis 2014) by two approaches and then merging it with the improved label propagation algorithm, which caused our proposed algorithm to … WitrynaGrey wolf optimization (GWO) is a meta-heuristic algorithm inspired by the hierarchy and hunting behavior of grey wolves. GWO has the superiorities of simpler concept and fewer adjustment parameters, and has been widely used in different fields. However, there are some disadvantages in avoiding prematurity and falling into local optimum. … Witryna16 cze 2024 · Therefore in this paper, an improved grey wolf optimizer is proposed to modify the exploration as well as exploitation abilities of the classical GWO. This improvement is performed by using the explorative … graph theory nptel assignment

Alpha guided grey wolf optimizer and its application in two stage ...

Category:Sensors Free Full-Text An Improved Grey Wolf Optimization …

Tags:Improved alpha-guided grey wolf optimizer

Improved alpha-guided grey wolf optimizer

Improved Grey Wolf Optimizer (I-GWO) - File Exchange

Witryna20 paź 2024 · Grey Wolf Optimizer is a kind of artificial intelligence optimization algorithm. Aiming at the problem of local optimum and low convergence accuracy of … WitrynaIt is inspired by the unique predator strategy and organization system of grey wolves. Since the GWO algorithm is easy to fall into local optimum especially when it is used in the high-dimensional data, an improved GWO algorithm combined with Cuckoo Search (CS) is proposed in this paper.

Improved alpha-guided grey wolf optimizer

Did you know?

Witryna1 mar 2024 · An Adaptive Neuro-Fuzzy Inference System (ANFIS) optimized by Improved Alpha-Guided Grey Wolf optimization (IA-GWO) algorithm is proposed in this study for reliable prediction of GWL in an intensively irrigated region of Northwest Bangladesh. Natural and anthropogenic factors including rainfall, evapotranspiration, … Witryna5 kwi 2024 · To address the problem where the different operating conditions of hydropower units have a large influence on the parameters of the trend prediction model of the operating condition indicators, a support vector regression machine prediction model based on parameter adaptation is proposed in this paper. First, the Aquila …

Witryna6 lut 2024 · Improved Grey Wolf Optimizer (IGWO). It is well-known that the balance between exploration and exploitation are the keys of success of any population-based … WitrynaHu P Chen S Huang H Zhang G Liu L Improved alpha-guided grey wolf optimizer IEEE Access 2024 7 5421 5437 Google Scholar; Ibrahim RA Elaziz MA Lu S Chaotic opposition-based grey-wolf optimization algorithm based on differential evolution and disruption operator for global optimization Expert Syst Appl 2024 108 1 27 Google …

Witryna16 cze 2024 · Grey Wolf Optimizer (GWO) is a new meta-heuristic search algorithm inspired by the social behavior of leadership and the hunting mechanism of grey wolves. GWO algorithm is prominent in... Witryna9 maj 2024 · The grey wolf optimizer (GWO) is a novel type of swarm intelligence optimization algorithm. An improved grey wolf optimizer (IGWO) with evolution and elimination mechanism was...

Witryna24 cze 2024 · GWO algorithm is a new meta-heuristic optimization method through imitating the hunting mechanism of grey wolves in nature. In this algorithm, four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy.

Witryna5 kwi 2024 · The 𝛼 wolf’s location is updated based on a combination of its solution and the solutions of the 𝛽 and 𝛿 ... Bhatt, Bhargav, Himanshu Sharma, Krishan Arora, Gyanendra Prasad Joshi, and Bhanu Shrestha. 2024. "Levy Flight-Based Improved Grey Wolf Optimization: A Solution for Various Engineering Problems" Mathematics … chiswick spacesWitryna22 lut 2024 · Grey Wolf Optimization (GWO) is a new swarm intelligence optimization algorithm proposed by Mirjalili in 2014 [ 8 ]. This algorithm is derived from the simulation of the social hierarchy and hunting behavior of gray wolves in nature, and achieves the purpose of searching for the best through tracking, hunting, encircling and attacking … graph theory online calculatorWitryna12 kwi 2024 · In grey wolf optimizer (GWO) (Mirjalili et al. 2014; Hatta et al. 2024; Elsisi 2024), the best solution, the second best solution, and the third best solutions are seen as alpha wolf, beta wolf, and delta wolf, respectively. The directions of the population are guided by the three wolves in GWO. chiswick sports and fitness centreWitryna30 sty 2024 · Grey wolf optimizer (GWO) is an up-to-date nature-inspired optimization algorithm which has been used for solving many of the real-world applications since it was proposed. In the standard GWO, individuals are guided by the three dominant wolves alpha, beta, and delta in the leading hierarchy of the swarm. graph theory notes n. yWitrynaGrey Wolf Optimizer For Training Elman Neural ... has improved its success and performance supply global optimal solution in different ... (ω) guided by the first three fittest wolves (α, β, δ ... graph theory of mathsWitryna17 maj 2024 · Qiuping Wang proposed an improved grey wolf algorithm (CGWO), which uses the cosine law to vary the convergence factor to improve the searchability, … graph theory notes in computer science pdfWitryna25 lis 2024 · Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide variety of optimization problems due to its impressive characteristics over other swarm intelligence methods: it has very few parameters, and no derivation information is required in the initial search. graph theory on going