%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% GENERAL DESCRIPTION : 10 Objective functions (2+5+3)
%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
There are three folders : DED Codes, ELD Codes, Hydrothermal Codes.
Each folder contain an MS Word document containing the problem formulation.
Each folder contains objective functions (function scripts) which always start with "fn_" in the name.
Each objective function is capable of operating on a row vector of values and returns the first output
as a single value which indicates the cost (inclusive of penalty added). The objective function can be called
with an optional second argument upon which the cost and penalty details are displayed.
Each folder contains a function script with name "MY_FUNCTION" which evaluates a matrix (a population or a collection of
row vectors to provide). It returns a column vector of objective values (inclusive of penalty obviously) and also the
count of function evaluations done in that particular call. Each value in the population is expected to have a precision
upto four decimal digits only. Any extra decimal digits need to be rounded off. The optimization algorithm is supposed to
pass its population to "MY_FUNCTION" and retrieve the cost values.
Each folder contains a Solution Script which has the data of lower limits and upper limits of the row vectors to be passed
to "MY_FUNCTION". That corresponds to the search space boundaries of the decision variables.
--------------------------------------------------------------------------------------------------------------------------
1) Readme.txt
DESCRIPTION : This very file that is currently being looked at.
--------------------------------------------------------------------------------------------------------------------------
2) DED Codes\MY_FUNCTION.m
DESCRIPTION : Takes input a matrix and sends each row to the appropriate
objective function mentioned within. Outputs are a column matrix of
objective values and the count of rows evaluated. Optimization algorithm is
expected to call this function.
**************************************************************************
3) DED Codes\fn_DED_5.m
DESCRIPTION : The objective function for evaluating a row vector of (24*5)
values.
**************************************************************************
4) DED Codes\fn_DED_10.m
DESCRIPTION : The objective function for evaluating a row vector of (24*10)
values.
**************************************************************************
5) DED Codes\My_Solutions.m
DESCRIPTION : The lower limits and upper limits for the row vectors of the
population.
--------------------------------------------------------------------------------------------------------------------------
6) ELD Codes\MY_FUNCTION.m
DESCRIPTION : Takes input a matrix and sends each row to the appropriate
objective function mentioned within. Outputs are a column matrix of
objective values and the count of rows evaluated. Optimization algorithm is
expected to call this function.
**************************************************************************
7) ELD Codes\fn_ELD_6.m
DESCRIPTION : The objective function for evaluating a row vector of 6 values.
**************************************************************************
8) ELD Codes\fn_ELD_13.m
DESCRIPTION : The objective function for evaluating a row vector of 13 values.
**************************************************************************
9) ELD Codes\fn_ELD_15.m
DESCRIPTION : The objective function for evaluating a row vector of 15 values.
**************************************************************************
10) ELD Codes\fn_ELD_40.m
DESCRIPTION : The objective function for evaluating a row vector of 40 values.
**************************************************************************
11) ELD Codes\fn_ELD_140.m
DESCRIPTION : The objective function for evaluating a row vector of 140 values.
**************************************************************************
12) ELD Codes\My_Solutions.m
DESCRIPTION : The lower limits and upper limits for the row vectors of the
population.
--------------------------------------------------------------------------------------------------------------------------
13) Hydrothermal Code\MY_FUNCTION.m
DESCRIPTION : Takes input a matrix and sends each row to the appropriate
objective function mentioned within. Outputs are a column matrix of
objective values and the count of rows evaluated. Optimization algorithm is
expected to call this function.
**************************************************************************
14) Hydrothermal Code\fn_HT_ELD_Case_1.m
DESCRIPTION : The objective function for evaluating a row vector of (24*4)
values.
**************************************************************************
15) Hydrothermal Code\fn_HT_ELD_Case_2.m
DESCRIPTION : The objective function for evaluating a row vector of (24*4)
values.
**************************************************************************
16) Hydrothermal Code\fn_HT_ELD_Case_3.m
DESCRIPTION : The objective function for evaluating a row vector of (24*4)
values.
**************************************************************************
17) Hydrothermal Code\My_Solutions.m
DESCRIPTION : The lower limits and upper limits for the row vectors of the
population.
--------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------
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CEC2011 test suite
共51个文件
m:41个
txt:5个
mat:4个
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IEEE Congress on Evolutionary Computation 2011 MATLAB 代码 真实参数优化问题
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CEC2011.zip (51个子文件)
Probs_11_ELD_Package
Hydrothermal Codes
My_Solutions.m 196B
fn_HT_ELD_Case_1.m 7KB
fn_HT_ELD_Case_3.m 7KB
fn_HT_ELD_Case_2.m 7KB
MY_FUNCTION.m 777B
Readme.txt 6KB
ELD Codes
fn_ELD_15.m 8KB
My_Solutions.m 2KB
fn_ELD_13.m 4KB
fn_ELD_140.m 18KB
fn_ELD_6.m 5KB
MY_FUNCTION.m 795B
fn_ELD_40.m 6KB
DED Codes
fn_DED_10.m 6KB
My_Solutions.m 388B
fn_DED_5.m 6KB
MY_FUNCTION.m 794B
Probs_1_to_8
c_bifunc_data.mat 515B
fourth.m 109B
intgrl1.m 214B
data6Bus.m 2KB
matlab.mat 142KB
fourthh.m 173B
hsdrf.m 438B
intgrl.m 182B
diffsolv.m 433B
bench_func.m 10KB
angle3d.m 212B
test3.m 1KB
test2.m 2KB
tersoff.m 1KB
Prob_10_Circ_Antenna
CEC_CircularAntenna
trapezoidalcir.m 616B
array_factorcir.m 1KB
display_plot.m 602B
antennafunccircular.m 2KB
Read_Me.txt 1KB
Prob_9_Transmission_Pricing
bounds.m 550B
EBEformybus.m 396B
EBEinputfile.m 7KB
cost_fn.m 4KB
readme2.txt 716B
readme.txt 513B
Probs_12_to_13_Package
cassini2.m 63B
Readme.txt 1KB
cassini2.mat 450B
mga_dsm.m 42KB
messengerfull.mat 463B
getlimit_cassini2.m 275B
getlimit_messenger.m 793B
messengerfull.m 66B
Tech. Report.pdf 278KB
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