نتایج جستجو برای: gray wolf optimizer

تعداد نتایج: 53447  

Journal: :Journal of wildlife diseases 2008
A Beck R Beck J Kusak A Gudan F Martinkovic B Artukovic M Hohsteter D Huber A Marinculic Z Grabarevic

The southern habitats of Croatia's gray wolf (Canis lupus) population are found in central and southern parts of Dalmatia. This region is recognized as an endemic region for canine visceral leishmaniosis, caused by Leishmania infantum. In November 2003, a 4-yr-old male gray wolf was found dead in the northwestern border of this endemic region. Pathologic and parasitologic analysis, confirmed by...

Metaheuristic algorithms are used to solve NP-hard optimization problems. These algorithms have two main components, i.e. exploration and exploitation, and try to strike a balance between exploration and exploitation to achieve the best possible near-optimal solution. The bat algorithm is one of the metaheuristic algorithms with poor exploration and exploitation. In this paper, exploration and ...

Journal: :Soft Computing 2021

Grey Wolf Optimizer (GWO) is a nature-inspired swarm intelligence algorithm that mimics the hunting behavior of grey wolves. GWO, in its basic form, real coded needs modifications to deal with binary optimization problems. In this paper, previous work on binarization GWO are reviewed, and classified respect their encoding scheme, updating strategy, transfer function. Then, we propose novel (nam...

Journal: :Mathematics 2023

Feature selection is a widely utilized technique in educational data mining that aims to simplify and reduce the computational burden associated with analysis. However, previous studies have overlooked high costs involved acquiring certain types of data. In this study, we investigate application multi-objective gray wolf optimizer (GWO) cost-sensitive feature predict students’ academic performa...

Journal: :Energies 2022

Depending on the temperature difference between hot and cold sides of thermoelectric generator (TEG), output performance TEG can be produced. This means that it is necessary to force a based robust maximum power point tracking (MPPT) operate close its MPP at any given or load. In this paper, an improved fractional MPPT (IFMPPT) proposed in order increase amount energy harvested from TEGs. Accor...

Journal: :TELKOMNIKA (Telecommunication Computing Electronics and Control) 2018

M. Shahrouzi, Y. Naserifar,

Passive systems are preferred tools for seismic control of buildings challenged by probabilistic nature of the input excitation. However, other types of uncertainty still exist in parameters of the control device even when optimally tuned. The present work concerns optimal design of multiple-tuned-mass-damper embedded on a shear building by a number of meta-heuristics. They include well-known g...

This paper aims at optimizing the finite isotropic plates with the hexagonal cutout subjected to  plane loading using metaheuristic optimization algorithms. This research uses Differential Evolution Algorithm (DE) and Harmony Search Algorithm (HSA) from the evolutionary algorithm category, Big Bang- Big Crunch Algorithm (BB-BC) from the physics-based algorithm category, and Grey Wolf Optimizer ...

 Sequence dependent set-up times scheduling problems (SDSTs), availability constraint and transportation times are interesting and important issues in production management, which are often addressed separately. In this paper, the SDSTs job shop scheduling problem with position-based learning effects, job-dependent transportation times and multiple preventive maintenance activities is studied. ...

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