粒子群算法Matlab工具箱！

madio

PSOt, particle swarm optimization toolbox for matlab.

May be distributed freely as long as none of the files are
modified.
4 z: T8 X8 G  c" z
Send suggestions to bkbirge@yahoo.com

Updates will be posted periodically at the Mathworks User
Contributed Files website (www.mathworks.com) under the
Optimization category.

/ v0 X% a/ J: z4 \To install:
+ L6 w1 b6 r1 K# b0 ?Extract into any directory you want but make sure the matlab
1 e4 Q( Y" D$ z! apath points to that directory and the subdirectories
8 B* r' g) h5 b, @2 w7 k'hiddenutils' and 'testfunctions'.
! w2 w9 n6 v) ~: f
Enjoy! - Brian Birge

-------------------------------------------------------------
" H! P8 R) G4 f( F5 P-------------------------------------------------------------

1 W1 ^. V) U4 h* S' j0 |. GINFO
Quick start: just type ... out = pso_Trelea_vectorized('f6',2)
& q% E- e$ F2 f( m% xand watch it work!

This is a PSO toolbox implementing Common, Clerc 1", and
Trelea types along with an alpha version of tracking changing
environments. It can search for min, max, or 'distance' of
/ b5 U. k$ @5 l. _user developed cost function. Very easy to use and hack with
( N3 c5 Q% p- S( w$ R) nreasonably good documentation (type help for any function and
0 l) V: Y2 X: O* m9 a+ S% H4 yit should tell you what you need) and will take advantage of
: a- _& R$ g* L' ?  `5 W& Hvectorized cost functions. It uses similar syntax to Matlab's
9 w$ n( |- Z$ T8 |. Doptimization toolbox. Includes a suite of static and dynamic
1 {( b. Q/ _% o% {- Q3 f) @8 S6 Stest functions. It also includes a dedicated PSO based neural
' z$ V0 G+ ]# I1 D+ A2 Lnetwork trainer for use with Mathwork's neural network toolbox.
- p1 u+ T# e7 }6 a1 |( t* e# a& o6 i
Run 'DemoPSOBehavior' to explore the various functions, options,
and visualizations.
  j6 Z8 Q) Z3 d
Run 'demoPSOnet' to see a neural net trained with PSO
" E5 S$ j% H; p( h/ G* I- \(requires neural net toolbox).

- H9 a( I$ h1 C+ e9 r
This toolbox is in constant development and I welcome
: @* H/ P! ~8 E' [suggestions. The main program 'pso_Trelea_vectorized.m' lists
various papers you can look at in the comments.
, u' D# C) L+ f* t
Usage ideas: to find a global min/max, to optimize training of
# ~9 D  ?% }) c5 b' d$ gneural nets, error topology change tracking, teaching PSO,
# T! T4 ~. C% W) Z  i! p$ `0 Ainvestigate Emergence, tune control systems/filters, paradigm
for multi-agent interaction, etc.

' ~6 N' W# y# \* O& x- {# P# U-------------------------------------------------------------
: U6 ^5 h8 b' M! w; ?) z-------------------------------------------------------------


Files included:
" x4 W5 W% x) z5 D- _4 }3 |5 S( \; t+ e
! a9 M5 g8 l0 F. j/ T
' r, Q+ N1 D1 j# c% l6 C5 n' m4 S** in main directory:

0) ReadMe.txt - this file, duh
0 S! s+ e- X4 W4 \9 j, e  t1) A Particle Swarm Optimization (PSO) Primer.pdf  -  powerpoint converted to pdf presentation explaining the very basics of PSO
2) DemoPSOBehavior.m - demo script, useful to see how the pso main function is called
1 s9 s4 `3 @0 V' n+ m3) goplotpso4demo.m - plotting routine called by the demo script, useful to see how custom plotting can be developed though this routine slows down the PSO a lot
4) goplotpso.m - default plotting routine used by pso algorithm
5) pso_Trelea_vectorized.m - main PSO algorithm function, implements Common, Trelea 1&2, Clerc 1", and an alpha version of tracking environmental changes.
  Z+ [! g& n' N4 T- F
. u! C7 F. E2 m7 r) ~/ u* p$ a

** in 'hiddenutils'
- x9 A  ]0 u. C, ^: R, h
1) forcerow, forcecol.m - utils to force a vector to be a row or column, superseded by Matlab 7 functions I believe but I think they are still called in the main algo
) l& p1 `3 T& k* d6 e2) normmat.m - takes a matrix and reformats the data to fit between a new range, very flexible
7 d% H& t' w/ D& i2 W" A3) linear_dyn, spiral_dyn.m - helpers for the dynamic test functions listed in the 'testfunctions' directory


+ d+ i8 ?, }/ s# i
** in 'testfunctions'
* I+ z! S6 _0 V4 Q- X
A bunch of useful functions (mostly 2D) for testing. See help for each one for specifics. Here's a list of the names:

Static test functions, minima don't change w.r.t. time/iteration:
: K0 }) Z; q1 F1 {( W 1) Ackley
2) Alpine
3) DeJong_f2
! N% k: q' Q/ |6 h- G" n 4) DeJong_f3
, c* `& z6 K$ w8 J* [ 5) DeJong_f4
6) Foxhole
7) Griewank
8) NDparabola
. [  X6 f( {- ]) z4 j7 i 9) Rastrigin
1 s5 P. F  ~3 e' @: L10) Rosenbrock
) E  y- d' t' r) S11) Schaffer f6
9 g- M1 f) ]4 o, S) G  g12) Schaffer f6 modified (5 f6 functions translated from each other)
13) Tripod

% z$ @; q: {' Z  [5 W1 jDynamic test functions, minima/environment evolves over time (NOT iteration, though easily modifed to do so):
* O/ G- [* ^" i/ s  T& }! k) _3 f14) f6_bubbles_dyn
$ v" n% x; n, m; c8 B' h15) f6_linear_dyn
: L& Z' [0 `  y( f7 c# d2 C/ x0 a16) f6_spiral_dyn



2 j# x' J1 D' n6 M, |+ q** in 'nnet' (all these require Matlab's Neural Net toolbox)
* C7 T# K. I( y) L* G; R
7 L4 U: O& L7 P) Y, L/ P: P  y9 D& ? 1) demoPSOnet - standalone demo to show neural net training
2) trainpso   - the neural net toolbox plugin, set net.trainFcn to this
3) pso_neteval - wrapper used by trainpso to call the main PSO optimizer, this is the cost function that PSO will optimize
4) goplotpso4net - default graphing plugin for trainpso, shows net architecture, relative weight indications, error, and PSO details on run
9 T! [( w1 C* d

0 j7 A  _6 E% X( C9 ?

枫叶下的你

发表回复嗯嗯嗯ヽ(○^^)

1150865889

回复一个赚体力
7 ?4 T& x  n8 p

2268733244

太好用了，博主牛牛牛

932624145

感觉很不错的

a602466161

标标标标
3 z0 [* s$ x% D- r

57475207

发表回看看感觉挺好用复
7 K5 `' o1 ]3 p2 i. ?6 X