Genetic Algorithms

Genetic Algorithms

1.0 1
by Isuru Abeysinghe
     
 

Examines the application of genetic algorithms in order to solve technical problems. Provides a working case study of a robotic spider and how it can learn to walk without being instructed in physics or explicitly programmed to perform that function.

Overview

Examines the application of genetic algorithms in order to solve technical problems. Provides a working case study of a robotic spider and how it can learn to walk without being instructed in physics or explicitly programmed to perform that function.

Product Details

ISBN-13:
2940044718715
Publisher:
Isuru Abeysinghe
Publication date:
07/14/2012
Sold by:
Smashwords
Format:
NOOK Book
Sales rank:
144,775
File size:
73 KB

Meet the Author

My life has generally been devoted to the pursuit of technical ambitions, being a graduate of Software Engineering and working for a financial services company as a software developer. However, I have many interests in humanities - history and politics mainly - providing fuel for my creative outlet of writing. I try and integrate equal parts of bleak and almost brutal analysis together with sardonic comedy to produce works that I hope will offer new perspectives and reflect actual social issues in the real world.

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Genetic Algorithms 1 out of 5 based on 0 ratings. 1 reviews.
Anonymous More than 1 year ago
This is little more than an unpublishable academic paper.