Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
An Introduction to Genetic Algorithms (Complex Adaptive Systems)


Science arises from the very human desire to understand and control the world. Over the course of history, we
humans have gradually built up a grand edifice of knowledge that enables us to predict, to varying extents, the
weather, the motions of the planets, solar and lunar eclipses, the courses of diseases, the rise and fall of
economic growth, the stages of language development in children, and a vast panorama of other natural,
social, and cultural phenomena. More recently we have even come to understand some fundamental limits to
our abilities to predict. Over the eons we have developed increasingly complex means to control many aspects
of our lives and our interactions with nature, and we have learned, often the hard way, the extent to which
other aspects are uncontrollable.

The advent of electronic computers has arguably been the most revolutionary development in the history of
science and technology. This ongoing revolution is profoundly increasing our ability to predict and control
nature in ways that were barely conceived of even half a century ago. For many, the crowning achievements
of this revolution will be the creation—in the form of computer programs—of new species of intelligent
beings, and even of new forms of life.

The goals of creating artificial intelligence and artificial life can be traced back to the very beginnings of the
computer age. The earliest computer scientists—Alan Turing, John von Neumann, Norbert Wiener, and
others—were motivated in large part by visions of imbuing computer programs with intelligence, with the
life−like ability to self−replicate, and with the adaptive capability to learn and to control their environments.
These early pioneers of computer science were as much interested in biology and psychology as in
electronics, and they looked to natural systems as guiding metaphors for how to achieve their visions. It
should be no surprise, then, that from the earliest days computers were applied not only to calculating missile
trajectories and deciphering military codes but also to modeling the brain, mimicking human learning, and
simulating biological evolution. These biologically motivated computing activities have waxed and waned
over the years, but since the early 1980s they have all undergone a resurgence in the computation research
community. The first has grown into the field of neural networks, the second into machine learning, and the
third into what is now called "evolutionary computation," of which genetic algorithms are the most prominent

(HTML tags aren't allowed.)

How to Make a Robot
How to Make a Robot

Learn the basics of modern robotics while building your own intelligent robot from scratch! You'll use inexpensive household materials to make the base for your robot, then add motors, power, wheels, and electronics.

But wait, it gets better: your creation is actually five robots in one! -- build

Model Building in Mathematical Programming
Model Building in Mathematical Programming

The 5th edition of Model Building in Mathematical Programming discusses the general principles of model building in mathematical programming and demonstrates how they can be applied by using several simplified but practical problems from widely different contexts. Suggested formulations and solutions are given together with...

Machine Learning for Audio, Image and Video Analysis: Theory and Applications
Machine Learning for Audio, Image and Video Analysis: Theory and Applications
Machine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. Focusing on complex media and how to convert raw data into useful information, this book offers both introductory and advanced material in the combined...

Tune Up Your PC In a Weekend, 2nd Edition
Tune Up Your PC In a Weekend, 2nd Edition
Most of the problems that people have with their PCs are software-based and easily fixable,at little or no expense--if you know how! This book walks the Reader step-by-step through the same troubleshooting and correction processes that experts use when people pay them $50 per hour or more to work on the PCs. This book thoroughly covers the...
Success Intelligence: Essential Lessons and Practices from the World's Leading Coaching Program on Authentic Success
Success Intelligence: Essential Lessons and Practices from the World's Leading Coaching Program on Authentic Success


Do you have a vision? Do you enjoy your work? Are your relationships thriving?

Success Intelligence examines how to enjoy real, soulful success while living in a manic, busy, and hyped-up world. Robert Holden is the creator of a unique...

Surgical Management of Congestive Heart Failure (Contemporary Cardiology)
Surgical Management of Congestive Heart Failure (Contemporary Cardiology)

James C. Fang, MD, and Gregory S. Couper, MD, have assembled a panel of prominent surgeons and cardiologists to review the latest clinical, scientific, and investigational surgical and mechanical approaches to heart failure in hopes of improving the lives of this challenging group of patients. Topics range from such traditional strategies as...

©2020 LearnIT (support@pdfchm.net) - Privacy Policy