Genetic Algorithms

£73.49 £97.99

Genetic Algorithms

Name: Genetic Algorithms
Brand: Nova Science Publishers, Inc
Price: 73.49 GBP
Availability: InStock

Advances in Research & Applications

Written by Julia Carson

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In Chapter One, a revision and complementary analysis of three interesting cases where stochastic strategies are applied to get the optimal design of intensified schemes is presented. The revisited cases include multicomponent, extractive and reactive thermally coupled distillation. Chapter Two performs parameter optimisation on a genetic algorithm to skip the tuning parameter process during unmanned aerial vehicle path planning. Results show that truncation selection at 20% is highly recommended for genetic algorithm path planning application because of its low average path and computational costs. Chapter 3 describes the calibration of the numerical model of the Monte da Virgem telecommunications tower, located near the city of Porto, Portugal. The calibration of the numerical model of the tower relies on the application of an iterative method based on a genetic algorithm. Chapter 4 describes the genetic algorithm-based calibration procedure for a microscopic traffic simulation model, focusing on freeways and modern roundabouts. For both case studies, the genetic algorithm tool in MATLAB® was applied in order to reach the convergence between the outputs from Aimsun microscopic simulator and the observed data.

ISBN-13: 9781536118568
Publisher: Nova Science Publishers, Inc
Imprint: Nova Science Publishers, Inc
Publication date: 1 June 2017
Format: Paperback
Pages: 90
Dimensions: 230 x 155 mm
Language: English