Explanation, please?

Doug Meade — Wed, 17 Jun 2009 21:21:51 Z

Rather than just trying to understand what your MATLAB code is supposed to do and then determining how to best implement that algorithm in Maple, could you just tell us what problem you are trying to solve?

Doug

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Douglas B. Meade  <><
Math, USC, Columbia, SC 29208  E-mail: mailto:meade@math.sc.edu
Phone:  (803) 777-6183         URL:    http://www.math.sc.edu

dear Sir, Iam

ahmedluss — Sun, 21 Jun 2009 18:45:29 Z

dear Sir,

Iam waiting yours replay.

Thanks.

Ahmed

More explanation

Christopher2222 — Mon, 22 Jun 2009 04:26:31 Z

Yes, more explanation. Ahmedluss, can you explain a little more what your code does. Some of us do not have Matlab. Yes Maple can export and convert code to Matlab but it's apparent and unfortunate Matlab doesn't convert to Maple. My first quick guess at what your code does, is some sort of insect growth population scenario.

Dear, I want to used

ahmedluss — Mon, 22 Jun 2009 07:36:15 Z

Dear,

I want to used these codes for optimiziation by using Partical Swarm Optimization (POS) algorithm,

Algorithm:

Original PSO.D dimensions in the search space.loop

3: For each particle, evaluate the desired optimization fitness function in

4: Compare particle’s fitness evaluation with its

5: Identify the particle in the neighborhood with the best success so far, and assign itsindex to the variable g.
D variables.pbesti . If current value is better than pbesti, then set pbesti equal to the current value, and pi equal to the current location xi in D-dimensional space.
6: Change the velocity and position of the particle according to the following equation(see notes below):

vi ← vi + U(0,φ1)⊗( pi − xi )+ U(0,φ2)⊗( pg − xi ),

7: If a criterion is met (usually a sufficiently good fitness or a maximum number ofiterations), exit loop.

8:
xi ← xi + vi .                                                          (1)end loop
the Codes in Matlab

% THE
% MATLAB

function [xmin, fxmin, iter] = PSO

%%%
success = 0;

PopSize = 20;
MaxIt = 5000;
iter = 0;

fevals = 0;
maxw = 1.2;

minw = 0.1;

weveryit = floor(0.75*MaxIt);
c1 = 0.5;
c2 = 0.5;
inertdec = (maxw-minw)/weveryit;
w = maxw;
f = “DeJong”;
dim = 2;

upbnd = 5;

wbnd = –5;
GM = 0;
ErrGoal = 1e–3;

% Initializing
popul = rand(dim, PopSize)*(upbnd-lwbnd) + lwbnd;
vel = rand(dim, PopSize);

%Evaluate
for i = 1:PopSize,
fpopul(i) = feval(f, popul(:,i));
fevals = fevals + 1;
end

% Initializing
% values
bestpos = popul;
fbestpos = fpopul;

% Finding
[fbestpart,g] = min(fpopul);
lastbpf = fbestpart;

% SWARM EVOLUTION LOOP ? START ?
while (success == 0) & (iter < MaxIt),
iter = iter + 1;
% Update the value of the inertia weight w
if (iter<=weveryit)
w = maxw – (iter–1)?inertdec;
end

% VELOCITY UPDATE
for i=1:PopSize,
A(:,i) = bestpos(:,g);
end
R1 = rand(dim, PopSize);
R2 = rand(dim, PopSize);
vel = w?vel + c1?R1.?(bestpos-popul) + c2?R2.?(A-popul);

%

popul = popul + vel;

% Evaluate the new swarm
for i = 1:PopSize,
fpopul(i) = feval(f,popul(:, i));
fevals = fevals + 1;
end

% Updating
changeColumns = fpopul < fbestpos;
fbestpos = fbestpos.*(~changeColumns) + fpopul.*changeColumns;
bestpos(:, find(changeColumns)) = popul(:, find(changeColumns));

% Updating
[fbestpart, g] = min(fbestpos);

% Checking
%if
if abs(fbestpart-GM) <= ErrGoal
success = 1;
else
lastbpf = fbestpart;
end
end
% LOOP ? END ?
% Output
xmin = popul(:,g);
fxmin = fbestpos(g);

function DeJong=DeJong(x)
DeJong = sum(x.?2);

How can rewrite these codes  in Maple because I used Maple only .

I am waiting youres replay.

Thank you so much

Ahmed

1: Initialize a population array of particles with random positions and velocities on

MaplePrimes - answers and comments on Question, Matlab To Maple

Explanation, please?

dear Sir, Iam

More explanation

Dear, I want to used