نتایج جستجو برای: augmented grey wolf optimization algorithm
تعداد نتایج: 1033761 فیلتر نتایج به سال:
In this work, a new metaheuristic algorithm, namely the hybrid pelican Komodo algorithm (HPKA), has been proposed. This is developed by hybridizing two shortcoming algorithms: Pelican Optimization Algorithm (POA) and Mlipir (KMA). Through hybridization, proposed designed to adapt advantages of both POA KMA. Several improvisations regarding are as follows. First, replaces randomized target with ...
A correction to this paper has been published: https://doi.org/10.1007/s11277-021-08444-w
Abstract The construction of injection wells is one the direct methods artificial recharge and determining their optimal location important issues that are discussed in topics projects related to rehabilitation aquifers. In this research, a simulation–optimization model was proposed determine using Isogeometric analysis (IGA) numerical Grey wolf optimization algorithm (GWO). regard, first, grou...
The computational complexity grows exponentially for multi-level thresholding (MT) with the increase of the number of thresholds. Taking Kapur’s entropy as the optimized objective function, the paper puts forward the modified quick artificial bee colony algorithm (MQABC), which employs a new distance strategy for neighborhood searches. The experimental results show that MQABC can search out the...
Electric buses have many significant advantages, such as zero emissions and low noise energy consumption, making them play an important role in saving the operation cost of bus companies reducing urban traffic pollution emissions. Therefore, recent years, cities world dedicate to promoting electrification public transport vehicles. Whereas due limitation on-board battery capacity, driving range...
The Search and Rescue optimization algorithm (SAR) is a recent metaheuristic inspired by the exploration’s behaviour for humans throughout search rescue processes. SAR applied to solve Combined Emission Economic Dispatch (CEED) Load (ELD). comparative performance of against several methods was performed assess its reliability. These algorithms include Earthworm (EWA), Grey wolf optimizer (GWO),...
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