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.
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Send suggestions to bkbirge@yahoo.com

7 T8 w0 f7 e' ^* IUpdates will be posted periodically at the Mathworks User
Contributed Files website (www.mathworks.com) under the
Optimization category.

To install:
Extract into any directory you want but make sure the matlab
6 S, Z1 t/ _7 w+ E& v) Wpath points to that directory and the subdirectories
'hiddenutils' and 'testfunctions'.

Enjoy! - Brian Birge

' K  h  l2 W% D& }6 V-------------------------------------------------------------
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INFO
6 A+ g  U2 X7 q* [7 xQuick start: just type ... out = pso_Trelea_vectorized('f6',2)
and watch it work!

  j, m' L! |. ~' D2 x: uThis is a PSO toolbox implementing Common, Clerc 1", and
# K. c. s, W- K; E/ ZTrelea types along with an alpha version of tracking changing
environments. It can search for min, max, or 'distance' of
  Q1 t! }" J5 ]1 p7 nuser developed cost function. Very easy to use and hack with
, D* E7 a, U& x2 s$ _: Sreasonably 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
. V0 ?4 ]# h; y# a# x4 t" |optimization toolbox. Includes a suite of static and dynamic
test functions. It also includes a dedicated PSO based neural
$ z7 D7 l- X( T/ C( hnetwork trainer for use with Mathwork's neural network toolbox.

Run 'DemoPSOBehavior' to explore the various functions, options,
and visualizations.
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Run 'demoPSOnet' to see a neural net trained with PSO
(requires neural net toolbox).
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This toolbox is in constant development and I welcome
suggestions. The main program 'pso_Trelea_vectorized.m' lists
various papers you can look at in the comments.
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Usage ideas: to find a global min/max, to optimize training of
neural nets, error topology change tracking, teaching PSO,
investigate Emergence, tune control systems/filters, paradigm
0 x" M* U; s- Bfor multi-agent interaction, etc.
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Files included:
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** in main directory:
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8 H) R, \' R2 ~/ O% a- s. z2 |0) ReadMe.txt - this file, duh
1) 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
: {3 ~9 C: ^+ S! 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
& q2 B; J  E0 W+ |9 P4) goplotpso.m - default plotting routine used by pso algorithm
: y; ~$ w3 w- l' X! D4 h8 h9 \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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** in 'hiddenutils'

8 {! j9 ~* [9 c7 Q& m1) 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
3 r* U  K+ A6 C: r( K2) normmat.m - takes a matrix and reformats the data to fit between a new range, very flexible
3) linear_dyn, spiral_dyn.m - helpers for the dynamic test functions listed in the 'testfunctions' directory

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** in 'testfunctions'
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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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Static test functions, minima don't change w.r.t. time/iteration:
: U8 F0 U2 x  D6 q: Q4 ?9 Q- B 1) Ackley
4 i2 ~- R5 f7 E0 j3 T 2) Alpine
3) DeJong_f2
) Q5 p2 W9 @  ~. w 4) DeJong_f3
5) DeJong_f4
& C6 _* C. [' _5 d3 p: d 6) Foxhole
7) Griewank
8) NDparabola
9) Rastrigin
10) Rosenbrock
; y  T1 S+ j4 J9 L$ Q5 R, b+ t2 B11) Schaffer f6
12) Schaffer f6 modified (5 f6 functions translated from each other)
13) Tripod
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! c- n+ Z# }' ]1 D  Z5 b4 P" z2 A9 yDynamic test functions, minima/environment evolves over time (NOT iteration, though easily modifed to do so):
7 ?* O5 K4 `8 @+ _5 g/ D14) f6_bubbles_dyn
3 P8 P0 |- e8 K6 P: _# R15) f6_linear_dyn
16) f6_spiral_dyn

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; E) |9 }5 x4 h, S, ?% b3 g3 H** 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
( E+ I- ~' M9 h 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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57475207

发表回看看感觉挺好用复
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a602466161

标标标标
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932624145

感觉很不错的

2268733244

太好用了，博主牛牛牛
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1150865889

回复一个赚体力
7 {5 ^% p: k$ X, ~0 S

枫叶下的你

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