r*y
发帖数: 706 | 1 Reviewer: paul196 (see more about me) from AdaptiveView.com
My original motivation for reading Swarm Intelligence was a desire to learn about the Particle Swarm Optimization (PSO) algorithm -- in particular, to learn how to implement it in a Java program. To the credit of its authors, what I found in Swarm
Intelligence was far more than that. The authors have taken on the rather daunting task of presenting a new paradigm -- a new way of thinking about mind and intelligence -- and they have succ |
o*****e
发帖数: 435 | 2 When can I get the pseudo code of the PSO algorithm?
about the Particle Swarm Optimization (PSO) algorithm -- in particular, to
learn how to implement it in a Java program. To the credit of its authors,
what I found in Swarm
daunting task of presenting a new paradigm -- a new way of thinking about mind
and intelligence -- and they have succeeded.
written in a single line of code. Understanding the basis for its approach to
intelligence isn't difficult, either. The authors begin their explanatio
【在 r*y 的大作中提到】
: Reviewer: paul196 (see more about me) from AdaptiveView.com
: My original motivation for reading Swarm Intelligence was a desire to learn about the Particle Swarm Optimization (PSO) algorithm -- in particular, to learn how to implement it in a Java program. To the credit of its authors, what I found in Swarm
: Intelligence was far more than that. The authors have taken on the rather daunting task of presenting a new paradigm -- a new way of thinking about mind and intelligence -- and they have succ
|
r*y
发帖数: 706 | 3 you mean where?
google for PSO(particle swarm optimization) you should be able to find. ACER also post a link in EE. I will forward to here.
I did not try any code yet. But I do have a basic equation from the inventer. |
r*y
发帖数: 706 | 4 http://clerc.maurice.free.fr/pso/
Has a lot of links. You may find pseudo code there.
【在 r*y 的大作中提到】
: you mean where?
: google for PSO(particle swarm optimization) you should be able to find. ACER also post a link in EE. I will forward to here.
: I did not try any code yet. But I do have a basic equation from the inventer.
|
o*****e
发帖数: 435 | 5 The PSO algorithm seems interesting, but I doubt it is superior to other
methods.
ACER also post a link in EE. I will forward to here.
inventer.
out
perhaps in
content
mind, it
to the
individuality.
code of
【在 r*y 的大作中提到】
: http://clerc.maurice.free.fr/pso/
: Has a lot of links. You may find pseudo code there.
|
r*y
发帖数: 706 | 6 It IS effient/fast.
但也有适用条件.而且作为一种社会模型,可以解释一些社会行为学的问题. 从算法角度揭
示一些群体行为的优越性.
figure
also
and
PSO
【在 o*****e 的大作中提到】
: The PSO algorithm seems interesting, but I doubt it is superior to other
: methods.
:
: ACER also post a link in EE. I will forward to here.
: inventer.
: out
: perhaps in
: content
: mind, it
: to the
|
o*****e
发帖数: 435 | 7 能不能就此开个SEMINAR?
揭
比如,比如?
比如?
find.
for
flipside
source
【在 r*y 的大作中提到】
: It IS effient/fast.
: 但也有适用条件.而且作为一种社会模型,可以解释一些社会行为学的问题. 从算法角度揭
: 示一些群体行为的优越性.
:
: figure
: also
: and
: PSO
|
r*y
发帖数: 706 | 8 I'm not qualified to do seminar.
IF ask for examples, PSO(particle swarm optimization) and ACOant colony
optimization) are two algorithms inspired from swarm/ant behaviour. ANd they
helped to solve important problems like TSP(travel salesman problem), netwokring
routing rpoblem, fast search, ect..
PSo features memory and learning from neighor.
ACO features smell/odor mark.
【在 o*****e 的大作中提到】
: 能不能就此开个SEMINAR?
:
: 揭
: 比如,比如?
: 比如?
: find.
: for
: flipside
: source
|
K******e
发帖数: 367 | 9 I don't think the reviewer knows much about AI or the other methods
mentioned in the book. It is understandable that he accepted all the
views of the book without criticism.
One of the most interesting thing about AI is that whenever they
find something (new or not actually new), people would just believe
that they have found the true answer to all the problems of the world and
decide to publish a book on it.
(Aka, out-dated AI-philoshophy books are the last thing
you want on your reading lists.
【在 r*y 的大作中提到】
: Reviewer: paul196 (see more about me) from AdaptiveView.com
: My original motivation for reading Swarm Intelligence was a desire to learn about the Particle Swarm Optimization (PSO) algorithm -- in particular, to learn how to implement it in a Java program. To the credit of its authors, what I found in Swarm
: Intelligence was far more than that. The authors have taken on the rather daunting task of presenting a new paradigm -- a new way of thinking about mind and intelligence -- and they have succ
|
