DPSO
所属分类：C#编程
开发工具：Visual C++
文件大小：10KB
下载次数：19
上传日期：2008-10-12 10:58:27
上 传 者：
代码人生
说明： 由基本粒子群最佳化发展而来的耗散粒子群算法
(From the best group of elementary particles developed from Dissipative Particle Swarm Optimization)
文件列表:
DPSO\DPSO\src\global.h (257, 2005-12-25)
DPSO\DPSO\src\headfile.h (263, 2006-07-10)
DPSO\DPSO\src\mem_loc.c (2407, 2002-05-30)
DPSO\DPSO\src\mem_loc.h (593, 1998-03-30)
DPSO\DPSO\src\methods.c (2277, 2002-05-30)
DPSO\DPSO\src\methods.h (450, 2002-05-30)
DPSO\DPSO\src\myfun.c (3824, 2006-07-10)
DPSO\DPSO\src\myfun.h (398, 2003-02-27)
DPSO\DPSO\src\pso.c (8389, 2006-07-10)
DPSO\DPSO\src\makefile (261, 2006-07-10)
DPSO\DPSO\src\define_t.h (452, 2006-07-10)
DPSO\DPSO\testfile\Griewank_DPSO_DP3.RUN (492, 2005-12-25)
DPSO\DPSO\testfile\Griewank_LPSO_SF1.RUN (490, 2005-12-25)
DPSO\DPSO\testfile\Rastrigrin_DPSO_DP3.RUN (493, 2005-12-25)
DPSO\DPSO\testfile\Rastrigrin_LPSO_SF1.RUN (491, 2005-12-25)
DPSO\DPSO\src (0, 2006-07-10)
DPSO\DPSO\testfile (0, 2006-07-10)
DPSO\DPSO (0, 2006-07-10)
DPSO (0, 2008-09-16)
@ DPSO is based on the PSO version by Yuhui SHI.
@ Please see the OLD_README before reading this file!!!
/==================== Other Information =============================/
Dissipative PSO V1.1
Xiao-Feng Xie, Dec 15, 2001 (last modified)
URL: http://www.adaptivebox.net/research/
Difference: add two chaos parameters: Cv, Cl
@ Ref: X. F. Xie, W. J. Zhang, Z. L. Yang. A dissipative particle swarm optimization.
Congress on Evolutionary Computation (CEC), Hawaii, USA, 2002: 1456-1461
@@Notes: IF Cv=Cl=0, then DPSO==PSO
/========================= Usage ============================
To make all the programs you should type
-> make all
To run it, under command prompt, type in
-> dpso *.run
@ The *.run file specifies all information required to run
the program. There are (you may see the C Program for dedails):
/*------Algorithm setting parameters: Total evaluation time = m*(T+1)------------*/
NUMBER_OF_AGENTS: m
MAXITER: T
weight_up
weight_low
Cv
Cl
MAXV
/*------Output setting parameters------------*/
run_no
Output step of generation
results_file_prefix
/*------problem setting parameters------------*/
fun_type: 0-Shaffer f6, 1-Sphere, 2-Rosenbrock, 3-generalized Rastrigrin, 4-generalized Griewank
DIMENSION
MAXX
/========================= Examples ============================
* examples in the directory "testfile", All are under m=20, and Dim=10
SF1: SPSO, Inertia weight(0.9 to 0.4)
Griewank_LPSO_SF1.RUN
Rastrigrin_LPSO_SF1.RUN
SF3: DPSO, Inertia weight(0.4), cv=0, cl=0.001
Griewank_DPSO_DP3.RUN
Rastrigrin_DPSO_DP3.RUN
/========================= Output Information ============================
The output file name will be given in runtime.
Each row represents the information of a run. hence the total row number is equal to the parameter "run_no" if it was not interrupted.
Each column represents the gbest value at a certain generation number, which the interval is equatio to the parameter "Output step of generation".
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