In this paper, Energy Valley Optimizer (EVO) is proposed as a novel metaheuristic algorithm inspired by advanced physics principles regarding stability and different modes of particle decay. Twenty unconstrained
meta-heuristic algorithmcontinuous optimization problemsgroup huntingA novel optimization algorithm is presented, inspired by group hunting of animals such as lions, wolves, and dolphins. Although these hunters have differences in the way of hunting, they are common in that all of them look for a ...
We intend to introduce a more productive and effective algorithm; this paper introduces a novel natural-inspired based meta-heuristic optimization algorithm, called Aquila Optimizer (AO). The proposed AO algorithm simulates the Aquila’s behavior during hunting in which showing the actions of each st...
The main contribution of this paper is to propose a novel search method for optimization purposes in which an intelligent procedure is conducted for finding the best optimal values of different optimization problems. The applicability of the proposed method in dealing with difficult optimum design probl...
AO的Matlab代码位于https://www.mathworks.com/matlabcentral/fileexchange/89381-aquila-optimizer-a-meta-heuristic-optimization-algorithm,而Java代码位于https://www.mathworks。 com / matlabcentral / fileexchange / 89386-aquila-optimizer-a-meta-heuristic-optimization-algorithm。
A.H., Aquila Optimizer: A novel meta-heuristic optimization Algorithm, Computers & Industrial Engineering (2021), doi: https://doi.org/10.1016/j.cie.2021.107250 Code available at Researchgate: https://www.researchgate.net/publication/350411564_Matlab_Code_of_Aquila_Optimizer_A_novel_meta-heu...
Kaveh A, Khayatazad M (2012) A new meta-heuristic method: ray optimization. Comput Struct 112:283–294 Article Google Scholar Kaveh A, Mahdavi VR (2014) Colliding bodies optimization: a novel meta-heuristic method. Comput Struct 139:18–27 Article Google Scholar Kaveh A, Talatahari S (...
This paper presents a novel hybrid meta-heuristic algorithm called HMGSG to solve the optimization problems. In the proposed HMGSG algorithm, a spiral-shaped path for grey wolf optimization (GWO) is used to ensure both the faster convergence rate and diversity. The mutualism phase of symbiotic ...
A novel Smishing defense approach based on meta-heuristic optimization algorithms doi:10.1186/s42400-024-00328-3PhishingSMS phishingMeta-heuristics optimization algorithmsPrairie dogs algorithmReptile search algorithmPhishing attacks have recently emerged as one of the most severe dangers to businesses, ...
In this paper, the authors propose a novel meta-heuristic algorithm suitable for continuous nonlinear optimization problems. The proposed method, Black Widow Optimization Algorithm (BWO), is inspired by the unique mating behavior of black widow spiders. This method includes an exclusive stage, namely...