Results 261 to 270 of about 240,959 (297)
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Improving Primary School Timetabling Using Genetic Algorithm GA

SSRN Electronic Journal, 2011
Genetic Algorithm (GA) is one of the most popular optimization solutions. It has been implemented in various applications such as scheduling. Badly designed timetables are not just inconvenient but proved expensive in terms of wasting time and money.
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VNR-GA: Elastic virtual network reconfiguration algorithm based on Genetic metaheuristic

2013 IEEE Global Communications Conference (GLOBECOM), 2013
Cloud Computing offers elasticity and enhances resource utilisation. This is why its success strongly depends on the efficiency of the physical resource management. This paper deals with dynamic resource reconfiguration to achieve high resource utilisation and to increase Cloud providers income.
Dab, Boutheina   +3 more
openaire   +2 more sources

Fractal coding in genetic algorithm (GA) antenna optimization

IEEE Antennas and Propagation Society International Symposium 1997. Digest, 2002
Genetic algorithms are an excellent approach to optimization problems in electromagnetics. Their chief benefit is the simplicity of coding and operation of the engine, which emulates aspects of Darwinian evolution to decide on the suitability of a set of antenna model parameters.
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Understanding Genetic Algorithm (GA) Operators Step by Step

2021
In today's world of soft computing, GAs are a hot topic. Researchers developed this fascinating application to face or to counter many difficult problems which cannot be solved through traditional approaches. We have seen that in the published work of GAs, an author does not reveal the working of the GA as a whole. In this chapter, the authors tried to
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SAREC-GA: A Security-Aware Real-Time Scheduling Algorithm with Genetic Algorithm

2007 International Conference on Machine Learning and Cybernetics, 2007
Security requirements of security-critical real-time applications must be met in addition to satisfying timing constraints. However, conventional real-time scheduling algorithms ignore the applications' security requirements. Tao Xie, Xiao Qin et al. have proposed a security-aware scheduling strategy, or SAREC, and scheduling algorithm SAREC-EDF, which
Sheng-Wu Xiong, Yong-Xiang Zhao, Ning Xu
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QCs scheduling scheme of genetic algorithm (GA) and improved firefly algorithm (FA)

Cluster Computing, 2018
As an important part of container logistics, quay cranes (QCs) are crucial equipment in multimodal container transportation. The scheduling and allocation of QCs determine the operational efficiency of container terminals. By analyzing the way quay cranes are operated, this paper establishes a mixed-integer dynamic rolling-horizon programming model for
Liangcai Dong, Yang Yang, Siyun Sun
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Music Composition Using Genetic Algorithms (GA) and Multilayer Perceptrons (MLP)

2005
In this work, authors have developed a system which is capable of composing songs using Genetic Algorithms (GA) to evolve melody and rhythm. Each GA uses two Multilayer Perceptron (MLP) type artificial neural networks (ANN) to judge for the fitness of individuals in the population.
Pigg, P, Dixit, V, Goksu, H
openaire   +2 more sources

Genetic Algorithms (GA)

2020
Erik Cuevas, Alma Rodríguez
openaire   +1 more source

Clinical management of metastatic colorectal cancer in the era of precision medicine

Ca-A Cancer Journal for Clinicians, 2022
, Davide Ciardiello, Giulia Martini
exaly  

New genetic algorithms (GA) to optimize PWR reactors

Annals of Nuclear Energy, 2008
Fatih Alim   +3 more
openaire   +2 more sources

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