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PSOt, particle swarm optimization toolbox for matlab.
May be distributed freely as long as none of the files are
modified.
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.
To 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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INFO
Quick start: just type ... out = pso_Trelea_vectorized('f6',2)
and 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
user developed cost function. Very easy to use and hack with
reasonably 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
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.
Run 'DemoPSOBehavior' to explore the various functions, options,
and visualizations.
Run 'demoPSOnet' to see a neural net trained with PSO
(requires neural net toolbox).
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.
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
for multi-agent interaction, etc.
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Files included:
** in main directory:
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) 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.
** in 'hiddenutils'
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
3) linear_dyn, spiral_dyn.m - helpers for the dynamic test functions listed in the 'testfunctions' directory
** 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
3) DeJong_f2
4) DeJong_f3
5) DeJong_f4
6) Foxhole
7) Griewank
8) NDparabola
9) Rastrigin
10) Rosenbrock
11) Schaffer f6
12) Schaffer f6 modified (5 f6 functions translated from each other)
13) Tripod
Dynamic test functions, minima/environment evolves over time (NOT iteration, though easily modifed to do so):
14) f6_bubbles_dyn
15) f6_linear_dyn
16) 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
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
没有合适的资源?快使用搜索试试~ 我知道了~
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【达摩老生出品,必属精品,亲测校正,质量保证】 资源名:粒子群程序_粒子群算法_matlab 资源类型:matlab项目全套源码 源码说明: 全部项目源码都是经过测试校正后百分百成功运行的,如果您下载后不能运行可联系我进行指导或者更换。 适合人群:新手及有一定经验的开发人员
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粒子群程序_粒子群算法_matlab.zip (31个子文件)
9706760111
PSO+toolbox
PSO toolbox
hiddenutils
linear_dyn.m 749B
normmat.m 4KB
forcerow.m 181B
spiral_dyn.m 841B
forcecol.m 172B
ReadME.txt 4KB
DemoPSOBehavior.m 5KB
nnet
demoPSOnet.m 2KB
pso_neteval.m 836B
trainpso.m 11KB
goplotpso4net.m 8KB
goplotpso.m 6KB
A Particle Swarm Optimization (PSO) Primer.pdf 724KB
goplotpso4demo.m 5KB
pso_Trelea_vectorized.m 22KB
testfunctions
DeJong_f3.m 506B
ackley.m 871B
f6.m 314B
f6mod.m 700B
DeJong_f2.m 732B
Rastrigin.m 521B
alpine.m 639B
Rosenbrock.m 723B
Foxhole.m 1KB
Griewank.m 1KB
NDparabola.m 663B
f6_bubbles_dyn.m 1KB
f6_spiral_dyn.m 872B
tripod.m 895B
f6_linear_dyn.m 617B
DeJong_f4.m 1004B
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