文件列表:

SPSO2011\.DS_Store (6148, 2011-05-27)
SPSO2011\alea.m (99, 2011-05-23)
SPSO2011\alea_normal.m (532, 2011-05-23)
SPSO2011\alea_sphere.m (483, 2011-05-23)
SPSO2011\benchmark_func.m (28339, 2011-05-22)
SPSO2011\disp_fun.m (889, 2011-05-18)
SPSO2011\func.m (8414, 2011-05-24)
SPSO2011\get_fun_info.m (4423, 2011-05-19)
SPSO2011\SPSO2011.m (6091, 2011-05-27)
SPSO2011\test_SPSO2011.m (1214, 2011-05-27)
SPSO2011 (0, 2012-06-13)

{\rtf1\ansi\ansicpg1252\cocoartf1038\cocoasubrtf350 {\fonttbl\f0\fswiss\fcharset0 ArialMT;} {\colortbl;\red255\green255\blue255;} \paperw11900\paperh16840\margl1440\margr1440\vieww9000\viewh8400\viewkind0 \deftab720 \pard\tx566\tx1133\tx1700\tx2267\tx2834\tx3401\tx3968\tx4535\tx5102\tx5669\tx6236\tx6803\pardeftab720\ri380\ql\qnatural \f0\fs20 \cf0 Developed by: Mahamed G.H. Omran (omran.m@gust.edu.kw) and Maurice Clerc \ 27-May-2011\ \ To run SPSO2011:\ \ 1) Copy all files into the Matlab directory\ 2) Edit test_SPSO2011 to set the following parameters:\ a) Nr (Number of runs, default is 25)\ b) normalize (default is 0, no normalization)\ c) FE_max (number of function evaluations, default is 100,000).\ d) N (swarm size, default is 40)\ 3) run test_SPSO2011, it will ask you for the function you want to optimize and the problem's dimension.\ \ \pard\pardeftab720\ri380\ql\qnatural \cf0 Compatibility with the original C version\ \ 1) RNG and numerical instability.\ \ We (Clerc and Omran) conducted several experiments on some benchmark functions. \ For several functions the results are very similar to the ones of \ the C version while for one function (CEC F6) the SR is really different:\ \ F6 results (C code):\ a) No normalization\ Avg. fitness = 5.69e+01 (2.06e+02)\ SR= 49.20 %\ \ b) Normalization\ Avg. fitness = ***4e+01 (1.57e+02)\ SR= 37.2 %\ \ F6 results (Matlab code)\ a) No normalization\ \ Avg. fitness = 6.05e+01(1.58e+02) \ SR = 0%\ \ b) Normalization\ \ Avg. fitness = 5.12e+01(1.37e+02) \ SR = 0%\ \ We suspect that there is a problem with the Matlab RNG and/or numerical \ instability (we implemented a simple RNG using C and Matlab and run our \ programs and still we got different results).\ \ 2) Normalization\ \ It is recommended that you use this option (i.e. randomize = 1) when \ the search space in not a hypercube. \ If the search space is a hypercube, It is better not normalize \ (there is a small difference between the position without any normalisation and the de-normalised one.).\ \ 3) Random permutation\ \ The random permutation of the numbering of the particles before \ each step is not included in the Matlab version(usually, it does not \ make a great difference in the C version).\ \ \ }

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