粒子群算法Matlab工具箱！

madio

PSOt, particle swarm optimization toolbox for matlab.

, S4 A" c: {, FMay be distributed freely as long as none of the files are
modified.
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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.

$ _' y* e& q4 X, D+ y( Y( ATo install:
Extract into any directory you want but make sure the matlab
. N+ Z; M0 I8 F: _path points to that directory and the subdirectories
'hiddenutils' and 'testfunctions'.
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9 x2 s5 @' a& YEnjoy! - Brian Birge

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8 C+ ~; b. Z7 K  l2 S' K0 eINFO
) }3 e) R' @0 AQuick start: just type ... out = pso_Trelea_vectorized('f6',2)
  }# b% H: u" u$ dand watch it work!
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This is a PSO toolbox implementing Common, Clerc 1", and
6 Y- K) Y+ E+ [* ~5 jTrelea types along with an alpha version of tracking changing
environments. It can search for min, max, or 'distance' of
% {1 ]8 L6 }( B& {8 U7 {user developed cost function. Very easy to use and hack with
reasonably good documentation (type help for any function and
, L, F( L" q9 c1 {' m6 d+ rit should tell you what you need) and will take advantage of
) I  p9 o7 r( V- F) mvectorized cost functions. It uses similar syntax to Matlab's
optimization toolbox. Includes a suite of static and dynamic
) F* |4 C: x' c/ V. D5 U4 U; z' n8 dtest functions. It also includes a dedicated PSO based neural
network trainer for use with Mathwork's neural network toolbox.

Run 'DemoPSOBehavior' to explore the various functions, options,
and visualizations.
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# {0 c" c" I% p. o: Y3 o4 PRun 'demoPSOnet' to see a neural net trained with PSO
. e( e8 e, L6 k+ W/ v: u& _(requires neural net toolbox).
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+ P$ e- c3 d; I( dThis toolbox is in constant development and I welcome
' a: R! m: c5 ~/ v5 Rsuggestions. The main program 'pso_Trelea_vectorized.m' lists
various papers you can look at in the comments.

Usage ideas: to find a global min/max, to optimize training of
, M0 x  ~1 N3 B  v" G8 z3 Z& Tneural nets, error topology change tracking, teaching PSO,
investigate Emergence, tune control systems/filters, paradigm
' a' z$ [  x9 Q/ ^) s) }for multi-agent interaction, etc.

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Files included:
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5 p6 g1 j# k2 l( z3 l) E** in main directory:

5 }9 F8 U5 f. c+ k- u0) ReadMe.txt - this file, duh
1) A Particle Swarm Optimization (PSO) Primer.pdf  -  powerpoint converted to pdf presentation explaining the very basics of PSO
  Y: m# v7 t: O% t2 a: W" I2) DemoPSOBehavior.m - demo script, useful to see how the pso main function is called
5 K+ z+ M! e( q3) 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
' ]0 d3 o; r4 g5) 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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, k6 t4 j. E$ `8 D, e  {/ ?
( d0 }( s) j6 m2 k# |** in 'hiddenutils'
# B% J- r5 _! Y" C  q4 D- E
+ W/ x0 F  `. D- y/ E, ]" H1) 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
, T+ A' O; z- t0 k, c) w2) normmat.m - takes a matrix and reformats the data to fit between a new range, very flexible
' j! O8 R0 Z; c% v* P& }3) 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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Static test functions, minima don't change w.r.t. time/iteration:
1) Ackley
2) Alpine
3) DeJong_f2
5 b' a2 P3 a$ Y# i# I 4) DeJong_f3
5) DeJong_f4
+ q  R% I0 G- c( V 6) Foxhole
7) Griewank
- |. s- j9 N' q9 u 8) NDparabola
9) Rastrigin
10) Rosenbrock
5 i, Q' ^  S' ?# [" p- Y11) 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):
14) f6_bubbles_dyn
! d, D6 |1 F& A# e( b15) f6_linear_dyn
16) f6_spiral_dyn
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. @4 q; s  Q- i9 S) n4 r/ L8 R0 \** in 'nnet' (all these require Matlab's Neural Net toolbox)

; K0 Y/ I6 G. r* c- y5 s 1) demoPSOnet - standalone demo to show neural net training
. Z/ h: y# y5 G3 j 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
/ }2 v' _9 P8 R+ U  Y' N7 X6 J$ f 4) goplotpso4net - default graphing plugin for trainpso, shows net architecture, relative weight indications, error, and PSO details on run

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2268733244

太好用了，博主牛牛牛

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感觉很不错的
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发表回看看感觉挺好用复