April 2001
Intermediate to advanced
512 pages
16h 38m
English
Content preview from Swarm Intelligence
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converges rapidly, even for high-dimensional, multimodal problems. In
the real world, however, we usually must deal with continuous numbers.
In the next section we show how particle swarm optimization works in
continuous numbers, maintaining its simplicity, power, and ease of use.
The Particle Swarm in Continuous Numbers
The progression of ideas has been from a purely qualitative social optimi-
zation algorithm—the Adaptive Culture Model—to a model that can be
interpreted as qualitative or quantitative—the binary particle swarm.
In this chapter we arrive at the “real” particle swarm, which is a truly
numeric optimization algorithm (Kennedy and Eberhart, ...
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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.