نتایج جستجو برای: gray wolf optimizer

تعداد نتایج: 53447  

Journal: :IEEE Access 2023

Since Grey Wolf Optimizer (GWO) first introduction, it continues to be used extensively today, owing its simplicity, easy handling, and applicability a wide range of problems. Although there are many different GWO variants in the literature, problem that produces early convergence inefficient results have still continued emerge their variants. In order overcome drawbacks theGWO, theGWO integrat...

Journal: :Decision Making 2021

Reliability allocation to increase the total reliability has become a successful way efficiency of complex industrial system designs. A lot research in past have tackled this problem great extent. This is evident from different techniques developed so far achieve target. Stochastic metaheuristics like simulated annealing, Tabu search (TS), Particle Swarm Optimization (PSO), Cuckoo Search (CS), ...

2017
Linguo Li Lijuan Sun Jian Guo Jin Qi Bin Xu Shujing Li

The computation of image segmentation has become more complicated with the increasing number of thresholds, and the option and application of the thresholds in image thresholding fields have become an NP problem at the same time. The paper puts forward the modified discrete grey wolf optimizer algorithm (MDGWO), which improves on the optimal solution updating mechanism of the search agent by th...

Journal: :Frontiers in Energy Research 2023

Wind power forecasting is pivotal in optimizing renewable energy generation and grid stability. This paper presents a groundbreaking optimization algorithm to enhance wind through an improved al-Biruni Earth radius (BER) metaheuristic algorithm. The BER algorithm, based on stochastic fractal search (SFS) principles, has been refined optimized achieve superior accuracy prediction. proposed denot...

2016
Osman İbiş Eren Aksöyek Servet Özcan Akif Keten Tarkan Yorulmaz Coşkun Tez

In this study, we focused on determining the genetic variability of Turkish gray wolves and also to reveal phylogenetic relationships of the Eurasian wolf populations using mitochondrial DNA sequences. Partial mitochondrial DNA sequences (440 bp) were obtained from 12 Turkish gray wolves, including D-loop region (332 bp). We found seven D-loop haplotypes (332 bp) among the 12 Turkish gray wolve...

2014
L. David Mech Bruce W. Christensen Cheryl S. Asa Margaret Callahan Julie K. Young

Using artificial insemination we attempted to produce hybrids between captive, male, western, gray wolves (Canis lupus) and female, western coyotes (Canis latrans) to determine whether their gametes would be compatible and the coyotes could produce and nurture offspring. The results contribute new information to an ongoing controversy over whether the eastern wolf (Canis lycaon) is a valid uniq...

Journal: :Concurrency and Computation: Practice and Experience 2022

In this study, a multi-objective formulation is proposed for designing supply chain of perishable products including suppliers, plants, distributors, and customers under sustainable development. addition to the studies literature, direct shipment between producers also alternative possibility are allowed. problem, objectives, such as facilities establishment costs, transportation negative envir...

Journal: :Energies 2022

With the development of power modules for high voltage, temperature, and density, their size is becoming smaller, packaging insulation experiences higher electrical, thermal, mechanical stress. Packaging needs to meet requirement that internal electric field, stress should be as low possible. Focusing on coupling principles optimization design among stresses in module insulation, a multi-object...

Journal: :Applied sciences 2021

Optimization is the science that presents a solution among available solutions considering an optimization problem’s limitations. algorithms have been introduced as efficient tools for solving problems. These are designed based on various natural phenomena, behavior, lifestyle of living beings, physical laws, rules games, etc. In this paper, new algorithm called good and bad groups-based optimi...

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