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
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* ^) f; V: c6 \' Y$ rSend suggestions to bkbirge@yahoo.com
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1 R4 `9 A9 a" W1 cUpdates will be posted periodically at the Mathworks User
Contributed Files website (www.mathworks.com) under the
/ m/ b! ^* M. o0 V- {9 J6 f+ qOptimization category.

1 S; ?0 u! ~; l8 B8 l# O; _8 iTo install:
Extract into any directory you want but make sure the matlab
7 m& ]2 O  D" k8 \) D4 z+ Wpath points to that directory and the subdirectories
'hiddenutils' and 'testfunctions'.
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. s. h2 C% W  O$ N! TEnjoy! - Brian Birge
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* r/ f/ C, F" r3 A- `, O* UINFO
3 s" Z  ^9 H& dQuick start: just type ... out = pso_Trelea_vectorized('f6',2)
and watch it work!

' \1 V- Y1 a& S  y! H, ?4 QThis 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
) c  x5 d  @. `' |) a- C! Juser developed cost function. Very easy to use and hack with
reasonably good documentation (type help for any function and
5 u  F8 J- }: X$ Tit should tell you what you need) and will take advantage of
- t9 V* u# A( v  D9 m  Cvectorized cost functions. It uses similar syntax to Matlab's
optimization 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.

1 Q% F4 z, G( m0 O3 \$ [0 a( V+ nRun 'DemoPSOBehavior' to explore the various functions, options,
and visualizations.

Run 'demoPSOnet' to see a neural net trained with PSO
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/ V6 p9 p  D4 u7 Y) t( A- @This toolbox is in constant development and I welcome
suggestions. The main program 'pso_Trelea_vectorized.m' lists
2 F1 Y2 I/ I6 n8 Fvarious papers you can look at in the comments.

Usage ideas: to find a global min/max, to optimize training of
neural nets, error topology change tracking, teaching PSO,
4 T" G0 ]3 W2 \2 @8 A* h2 g. kinvestigate Emergence, tune control systems/filters, paradigm
& ~7 I; \- M3 T6 p; q3 z2 k% [7 zfor multi-agent interaction, etc.
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Files included:

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** in main directory:

" m; G0 R3 Q2 F0) ReadMe.txt - this file, duh
. R1 S# Q+ K. d1) A Particle Swarm Optimization (PSO) Primer.pdf  -  powerpoint converted to pdf presentation explaining the very basics of PSO
: f" z8 z2 K* [" n, R) J2) DemoPSOBehavior.m - demo script, useful to see how the pso main function is called
1 K# a" A- m) z( ]& c3) 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.


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1 J: E# T/ a( P* d: t7 H1 |& }2 x  A** in 'hiddenutils'
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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
2) normmat.m - takes a matrix and reformats the data to fit between a new range, very flexible
" Z; R$ P& V  E( L- m% U3) 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:
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, p0 @, }1 P& V, U% n$ f' eStatic test functions, minima don't change w.r.t. time/iteration:
1) Ackley
2) Alpine
3) DeJong_f2
2 ?2 c9 d7 S1 h! L, I 4) DeJong_f3
5) DeJong_f4
  i8 b* _: S( M" i% B# ?# ]0 p9 e8 z. T 6) Foxhole
$ S% p, n% ^  j# U% h( i 7) Griewank
% j( s2 y; v+ e5 |$ c1 Y 8) NDparabola
9) Rastrigin
10) Rosenbrock
; W" j6 K3 f- W7 a0 u11) Schaffer f6
0 T8 [8 ]1 J7 R3 Q, l12) Schaffer f6 modified (5 f6 functions translated from each other)
13) Tripod
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# g; `8 h5 _5 s4 h: b* S  GDynamic test functions, minima/environment evolves over time (NOT iteration, though easily modifed to do so):
14) f6_bubbles_dyn
) `( O( O# U  r5 @- ]' k; _! y15) f6_linear_dyn
. B- u" h! s" t3 X/ J% r$ E16) f6_spiral_dyn



** in 'nnet' (all these require Matlab's Neural Net toolbox)

1) demoPSOnet - standalone demo to show neural net training
2) trainpso   - the neural net toolbox plugin, set net.trainFcn to this
- j/ F( y+ ~7 V# t; c! x; c 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
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枫叶下的你

发表回复嗯嗯嗯ヽ(○^^)
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1150865889

回复一个赚体力
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2268733244

太好用了，博主牛牛牛

932624145

感觉很不错的
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a602466161

标标标标
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57475207

发表回看看感觉挺好用复
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