Genetic Algorithms

Advances in Research & Applications

Buch | Softcover

90 Seiten

2017
Nova Science Publishers Inc (Verlag)
978-1-5361-1856-8 (ISBN)

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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 (R) was applied in order to reach the convergence between the outputs from Aimsun microscopic simulator and the observed data.

Preface; Genetic Algorithms: A Tool for Optimizing Intensified Distillation Sequences; The Optimization of a Genetic Algorithm for Unmanned Aerial Vehicle Path Planning ; Calibration of the Numerical Model of a Telecommunications Tower Based on Genetic Algorithms; Application of a Genetic Algorithm in Calibration of Traffic Microsimulation Models; Index.

Erscheinungsdatum	02.06.2017
Verlagsort	New York
Sprache	englisch
Maße	155 x 230 mm
Gewicht	190 g
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
ISBN-10	1-5361-1856-7 / 1536118567
ISBN-13	978-1-5361-1856-8 / 9781536118568
Zustand	Neuware