April 2011
Beginner to intermediate
496 pages
19h 31m
English
Content preview from Computational Intelligence
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68 Chapter Three—Evolutionary Computation Concepts and Paradigms
be scaled between 0 and 1 when possible, making it easy to understand as well as
an indication of the probability of a population member’s survival.
The material on genetic algorithms in this chapter provides only an introduction
to the subject. We suggest that you explore GAs further by sampling the references
cited in this section. With further study and application, it will become apparent
why GAs have such a devoted following. In the words of Davis (1991):
[T]here is something profoundly moving about linking a genetic algorithm to
a difficult problem and returning later to find that ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.