Improved alpha-guided grey wolf optimizer
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 … 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 …
Improved alpha-guided grey wolf optimizer
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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... Witryna17 maj 2024 · This paper proposed an improved Grey Wolf Optimizer (GWO) to resolve the problem of instability and convergence accuracy when GWO is used as a meta-heuristic algorithm with strong optimal search capability in …
Witryna25 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. Witryna22 maj 2024 · The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy.
Witryna25 gru 2024 · Improved Alpha-Guided Grey Wolf Optimizer Authors: Pin Hu Siyi Chen Xiangtan University Huixian Huang Guangyan Zhang Abstract and Figures Grey wolf … Witryna1 kwi 2024 · Grey Wolf Optimizer (GWO) is a new meta-heuristic inspired by the hunting behavior of grey wolves. Our findings reveal that the optimizer has a strong search …
Witryna1 lip 2024 · In order to improve the leaders on the basis of some drawbacks that leading wolves in GWO have, [27] proposed improved variant of GWO, namely, Random …
WitrynaGrey wolf optimizer (GWO) is a new meta-heuristic swarm intelligence algorithm, which has shown promising performance in solving optimization problems. In... DOAJ is a … how many americans use caffeineWitryna2 cze 2024 · Abstract To overcome the poor population diversity and slow convergence rate of grey wolf optimizer (GWO), this paper introduces the elite opposition-based learning strategy and simplex method into GWO, and proposes a hybrid grey optimizer using elite opposition (EOGWO). how many americans use obamacareWitryna11 gru 2024 · With a hypothesis that the social hierarchy of the grey wolves would be also followed in their searching positions, an improved grey wolf optimization (GWO) algorithm with variable weights (VW-GWO) is proposed. And to reduce the probability of being trapped in local optima, a new governing equation of the controlling parameter … high out of pocket maximumsWitryna15 mar 2024 · The grey wolf optimizer (GWO) algorithm is inspired by the social leadership and hunting behavior of grey wolves in nature. The GWO algorithm … high out of pocketWitrynaA modified variant of gray wolf optimization algorithm, namely, mean gray wolf optimization algorithm has been developed by modifying the position update (encircling behavior) equations of gray ... high ouput certicle radiator ireland priceWitryna1 mar 2014 · Abstract. This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the … how many americans use social mediaWitrynaIt 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. high out heart failure