mono- objective optimization and multiopjective optimisation, I would like to use GA with option but there is a fault that I can't to resolve

objective = @(x) 1.002 - ((1 - exp(-0.00003 * x)) ./ (0.00003 * (x + 1.5) + 0.00063 * (1 - exp(-0.00003 * x))));
[a,b]=[24:720];
options = optimoptions('ga', 'PopulationSize', 50, 'MaxGenerations', 100, 'Display', 'iter');
[x_opt, fval] = ga(objective, 1, [], [], [], [], a, b, [], options);
disp('Résultat optimal :');

the results are:

??? Undefined function or method 'optimoptions' for input arguments of type 'char'.

Error in ==> obj_1 at 10

options = optimoptions('ga', 'PopulationSize', 50, 'MaxGenerations', 100, 'Display', 'iter');

Answer 1

[Torsten]

You mean

objective = @(x) 1.002 - ((1 - exp(-0.00003 * x)) ./ (0.00003 * (x + 1.5) + 0.00063 * (1 - exp(-0.00003 * x))));
a = 24;
b = 720;
%[a,b]=[24:720];
options = optimoptions(@ga, 'PopulationSize', 50, 'MaxGenerations', 100, 'Display', 'iter');
%options = optimoptions('ga', 'PopulationSize', 50, 'MaxGenerations', 100, 'Display', 'iter');
[x_opt, fval] = ga(objective, 1, [], [], [], [], a, b, [], options)

Single objective optimization:
1 Variables

Options:
CreationFcn:       @gacreationuniform
CrossoverFcn:      @crossoverscattered
SelectionFcn:      @selectionstochunif
MutationFcn:       @mutationadaptfeasible

                                  Best           Mean      Stall
Generation      Func-count        f(x)           f(x)    Generations
    1              100         0.01208         0.01488        0
    2              147         0.01208         0.01327        0
    3              194         0.01208          0.0131        0
    4              241         0.01208         0.01302        0
    5              288         0.01208          0.0126        1
    6              335         0.01208          0.0121        0
    7              382         0.01207         0.01208        0
    8              429         0.01207         0.01208        1
    9              476         0.01207         0.01208        2
   10              523         0.01207         0.01208        0
   11              570         0.01207         0.01207        0
   12              617         0.01207         0.01207        0
   13              664         0.01207         0.01207        1
   14              711         0.01207         0.01207        0
   15              758         0.01207         0.01207        1
   16              805         0.01207         0.01207        0
   17              852         0.01207         0.01207        0
   18              899         0.01206         0.01207        0
   19              946         0.01206         0.01207        1
   20              993         0.01206         0.01207        2
   21             1040         0.01206         0.01207        0
   22             1087         0.01206         0.01207        0
   23             1134         0.01206         0.01207        0
   24             1181         0.01206         0.01206        0
   25             1228         0.01206         0.01206        0
   26             1275         0.01206         0.01206        0
   27             1322         0.01206         0.01206        1
   28             1369         0.01206         0.01206        0
   29             1416         0.01206         0.01206        1
   30             1463         0.01206         0.01206        2

                                  Best           Mean      Stall
Generation      Func-count        f(x)           f(x)    Generations
   31             1510         0.01206         0.01206        0
   32             1557         0.01206         0.01206        0
   33             1604         0.01206         0.01206        0
   34             1651         0.01206         0.01206        1
   35             1698         0.01206         0.01206        0
   36             1745         0.01205         0.01206        0
   37             1792         0.01205         0.01206        0
   38             1839         0.01205         0.01206        0
   39             1886         0.01205         0.01205        1
   40             1933         0.01205         0.01205        0
   41             1980         0.01205         0.01205        0
   42             2027         0.01205         0.01205        0
   43             2074         0.01205         0.01205        0
   44             2121         0.01205         0.01205        0
   45             2168         0.01205         0.01205        1
   46             2215         0.01205         0.01205        0
   47             2262         0.01205         0.01205        0
   48             2309         0.01205         0.01205        0
   49             2356         0.01205         0.01205        0
   50             2403         0.01205         0.01205        0
   51             2450         0.01205         0.01205        0
ga stopped because the average change in the fitness value is less than options.FunctionTolerance.

x_opt = 322.6320

fval = 0.0120

?

[dal]

it's the same problem, I have no résults

??? Undefined function or method

'optimoptions' for input arguments of

type 'function_handle'.

Error in ==> G1 at 7

options = optimoptions(@ga,

'PopulationSize', 50, 'MaxGenerations', 100, 'Display', 'iter');

[Torsten]

What so you get if you type

which optimoptions

/MATLAB/toolbox/shared/optimlib/optimoptions.m

?

Which MATLAB version do you have installed ?

[dal]

good morning I have Matlab 2009a

if type optimoptions, the answer is:

??? Undefined function or variable 'optimoptions'.

[Walter Roberson]

For sufficiently old releases you need to use gaoptimset

Answer 2

[Walter Roberson]

You do not have the Optimization Toolbox installed, and you do not have the Global Optimization Toolbox installed.

You probably do not have them licensed either.

[dal]

if I use this Editod:

function y=obj1(x)
a=1-exp(-0.00003*x);
b=0.00003*(x+1.5);
c=0.00063*a;
d=b+c;
e=a/d;
f=1.002;
y=f-e;
% command window:
[x y]=ga(@obj_dal,1,[],[],[],[],24,720)
% résults:
x=315.25
y=0.0121

but I need use options in order to change populations

[Walter Roberson]

optimoptions requires R2013a or later. Perhaps you are using an earlier release?