You might also like

Availability alert

More about Genetic Algorithms

• Book details
• Synopsis
• Trending among others

You get 298 loyalty points

Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science

• Full title: Genetic Algorithms
• Author: Julia Carson
• Language: English
• Binding: Paperback
• Number of pages: 90
• EAN: 9781536118568
• ISBN: 9781536118568
• ID: 16207470
• Publisher: Nova Science Publishers Inc
• Weight: 192 g
• Dimensions: 156 × 233 × 10 mm
• Date of publishing: 01. June 2017

Trending among others

---

---

---