粒子群算法Matlab工具箱！

madio

PSOt, particle swarm optimization toolbox for matlab.

1 F4 s' e) n- S4 s5 H) HMay be distributed freely as long as none of the files are
modified.
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Send suggestions to bkbirge@yahoo.com

2 e; M2 d9 u) |# L  G& F8 FUpdates will be posted periodically at the Mathworks User
Contributed Files website (www.mathworks.com) under the
% v. G3 x* b& o3 ]! \5 x$ vOptimization category.
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* S( g: N5 s2 ATo install:
Extract into any directory you want but make sure the matlab
path points to that directory and the subdirectories
'hiddenutils' and 'testfunctions'.

Enjoy! - Brian Birge
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6 K* q& ~6 J9 ^) b% s1 y" U) XINFO
  l# j0 [% U* n! d$ GQuick start: just type ... out = pso_Trelea_vectorized('f6',2)
+ p; K7 T/ ?* Cand watch it work!
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! e7 i" _. |- W' y% Y" E9 qThis is a PSO toolbox implementing Common, Clerc 1", and
: x6 y, j# n7 F& q: _Trelea types along with an alpha version of tracking changing
environments. It can search for min, max, or 'distance' of
9 D1 Y  g% V! d+ Puser developed cost function. Very easy to use and hack with
- ?( Z0 |- c) J6 R0 T: C8 Areasonably good documentation (type help for any function and
it should tell you what you need) and will take advantage of
vectorized cost functions. It uses similar syntax to Matlab's
2 {# p$ n& V- N; N0 M6 Uoptimization toolbox. Includes a suite of static and dynamic
test functions. It also includes a dedicated PSO based neural
network trainer for use with Mathwork's neural network toolbox.
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Run 'DemoPSOBehavior' to explore the various functions, options,
and visualizations.
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Run 'demoPSOnet' to see a neural net trained with PSO
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+ K" x0 y9 w& |1 ~0 f$ q/ qThis toolbox is in constant development and I welcome
7 ~$ L; P) U- C: n! Usuggestions. The main program 'pso_Trelea_vectorized.m' lists
various papers you can look at in the comments.
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4 j) ~: N* I* NUsage ideas: to find a global min/max, to optimize training of
3 r! H) V/ @0 f% S2 R0 p: dneural nets, error topology change tracking, teaching PSO,
4 [, m4 [/ I4 p! o) @investigate Emergence, tune control systems/filters, paradigm
: F# ^  W# W& K' sfor multi-agent interaction, etc.
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Files included:
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** in main directory:

0) ReadMe.txt - this file, duh
% u& j3 [% G& g% ~: M1) A Particle Swarm Optimization (PSO) Primer.pdf  -  powerpoint converted to pdf presentation explaining the very basics of PSO
# ?4 z: u1 m2 J' }2) DemoPSOBehavior.m - demo script, useful to see how the pso main function is called
3) 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
* I# D7 e" p- X0 Y0 s4) goplotpso.m - default plotting routine used by pso algorithm
/ \4 {  U/ c) ~5 D5 x5) pso_Trelea_vectorized.m - main PSO algorithm function, implements Common, Trelea 1&2, Clerc 1", and an alpha version of tracking environmental changes.

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** in 'hiddenutils'

$ P# c) F7 ^4 W1) 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
$ U3 B, v; |, r5 f2) normmat.m - takes a matrix and reformats the data to fit between a new range, very flexible
0 P8 J& k" {: `/ H: c) w3) linear_dyn, spiral_dyn.m - helpers for the dynamic test functions listed in the 'testfunctions' directory
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** in 'testfunctions'

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:
1) Ackley
2) Alpine
. R$ b6 v+ F2 b; Q0 s$ H0 ? 3) DeJong_f2
2 P* f+ t& X/ h) c0 D; M 4) DeJong_f3
0 I& l& w; x* r$ A 5) DeJong_f4
/ u, I4 _: s1 y, Y. a 6) Foxhole
, ~( m5 L/ h$ [6 g, j 7) Griewank
8) NDparabola
9) Rastrigin
10) Rosenbrock
11) Schaffer f6
12) Schaffer f6 modified (5 f6 functions translated from each other)
13) Tripod
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Dynamic test functions, minima/environment evolves over time (NOT iteration, though easily modifed to do so):
; S* G; r- D, ?14) f6_bubbles_dyn
15) f6_linear_dyn
16) f6_spiral_dyn


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** in 'nnet' (all these require Matlab's Neural Net toolbox)
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1) demoPSOnet - standalone demo to show neural net training
' v! c5 I& S3 J. \& E0 m8 r1 N8 a1 L 2) trainpso   - the neural net toolbox plugin, set net.trainFcn to this
& h( U# L5 Z* m4 l* b. E 3) pso_neteval - wrapper used by trainpso to call the main PSO optimizer, this is the cost function that PSO will optimize
1 E( C3 @1 Q. n+ L 4) goplotpso4net - default graphing plugin for trainpso, shows net architecture, relative weight indications, error, and PSO details on run
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枫叶下的你

发表回复嗯嗯嗯ヽ(○^^)

1150865889

回复一个赚体力

2268733244

太好用了，博主牛牛牛

932624145

感觉很不错的
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a602466161

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57475207

发表回看看感觉挺好用复
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