نتایج جستجو برای: non dominated sorting genetic algorithm

تعداد نتایج: 2547679  

F. Jolai‎ R. Tavakkoli-‎Moghaddam‎‎, S. Sedehzadeh‎

One main group of a transportation network is a discrete hub covering problem that seeks to minimize the total transportation cost. This paper presents a multi-product and multi-mode hub covering model, in which the transportation time depends on travelling mode between each pair of hubs. Indeed, the nature of products is considered different and hub capacity constraint is also applied. Due to ...

Journal: :Aerospace 2022

The airfoil is the prime component of flying vehicles. For low-speed flights, low Reynolds number airfoils are used. characteristic a laminar separation bubble and an associated drag rise. This paper presents framework for design airfoil. contributions proposed research twofold. First, convolutional neural network (CNN) designed aerodynamic coefficient prediction airfoils. Data generation discu...

Journal: :Frontiers in Energy Research 2023

Introduction: In the wave of urbanization, increase public lighting equipment in buildings has brought about more prominent problems energy saving and consumption reduction. Methods: order to solve above problems, this paper designs a set intelligent solutions for digital by combining smart grid non-dominant sorting genetic algorithms. Firstly, an monitoring solution is constructed through ZigB...

Journal: :Electronics 2022

Seasonal influenza (also known as flu) is responsible for considerable morbidity and mortality across the globe. The three recognized pathogens that cause epidemics during winter season are A, B C. virus particularly dangerous due to its mutability. Vaccines an effective tool in preventing seasonal influenza, their formulas updated yearly according WHO recommendations. However, order facilitate...

2015
Zou Yingyong Li Qinghua

Based on the analysis on the basic principles and characteristics of the existing multiobjective genetic algorithm (MOGA), an improved multi-objective GA with elites maintain is put forward based on non-dominated sorting genetic algorithm (NSGA). NSGA-II algorithm theory and parallel hybrid evolutionary theory is described in detail. The design principle, process and detailed implementations of...

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