too many input arguments error when i pass struct to my function

I am getting too many input arguments error when i pass struct to my function... struggling since last 2 days.... help requested....my called function and calling matlab script both files are attached :::

[per isakson]

"many input arguments error when i pass struct to my function" I fail to reproduce any such error on R2018b.

First I ran SwarmOptimization14May2021 and encountered

Undefined function or variable 'Vehiclen'.
Error in SwarmOptimization14May2021 (line 79)
U(Vehiclen) 

Then I commented out the two final lines

U(Vehiclen)
t(Vehiclen)

and ran SwarmOptimization14May2021 again. This time without errors.

All calls of CostTimeDCal1 are commented out in SwarmOptimization14May2021

[muhammad ilyas khattak khattak]

@per isaksonlot of thanks for your time and quick reply..... here is the script of 'SwarmOptimization14May2021' for which i am getting error

% ......Particle swarm optimization...... for computation-intensive task
% offloading .....  scripting start date:: 03 May 2021

% For computing-intensive task offloading, the process can be regarded as different
% task particles to choose their best location and to quickly search for the location
% set in accordance with the scene under different conditions

% Thus, the multi-objective optimization problem is formulated as.....   

N_Total = 40;
U = zeros(N_Total,1);
t = zeros(N_Total,1);
Lambda = sym('Lambda',[N_Total,1]);
%Lambda = optimvar('Lambda',N_Total,1);
%Alphal = optimvar('Alphal',N_Total,1);
VarAlpha = sym('VarAlpha',[N_Total,1]);
Betam = sym('Betam',[N_Total,1]);
% Betam = optimvar('Betam',N_Total,1); 
fl = sym('fl',[N_Total,1]);
% fl = optimvar('fl',N_Total,1); 
fe = sym('fe',[N_Total,1]);
% fe = optimvar('fe',N_Total,1); 

% function [U t] = CostTimeDCal(Vehiclen,N_Total,U,t,Lambda,Betam,Alphal,fl,fe)                                        
n = 1;
                        
% fl = sym('fl',[N_Total,1]);  % Processing capability needed for task Tn is fl(n) and maximum processing capability of CAV n Fn.....   
% pl(n) = kn*fl(n)^3;        % Keeping it equal to 1 Watt at the moment as recommmended in the article...... 
Fn = 1.4*10^9;               % Fn initialized to value illustrated in article by author ............
% fe = sym('fe',[N_Total,1]);  % Processing capability needed for task Tn is fe(n) and maximum processing capability of RES n Fe.....   
Fe = 3*10^9;                 % Fe initialized to value illustrated in article by author ............

if (n == 1)             
%subs(Alphal(n),Alphal(n),1);
VarAlpha(n) = sym(1);  
Betam(n) = sym(1);
Lambda(n) = sym(rand(1,1));
fe(n) = sym(0.4*10^9);
fl(n) = sym(0.4*10^9);
end 

% subs(x(Vehiclen),x(Vehiclen),Lambda(Vehiclen))
%x(Vehiclen) = Lambda(Vehiclen)
% CostTimeDelayCalHandle = @CostTimeDCal;
% f = @(x)CostTimeDCal;
% x = optimvar('x',N_Total,1);   % Optimization variable....

x = struct('n',n,'U',U(n),'t',t(n),'Lambda',Lambda(n),'Betam',Betam(n),'VarAlpha',VarAlpha(n),'fl',fl(n),'fe',fe(n))     % Structured  variable....
% x = struct('n',[1:N_Total];'U',U;'t',t;'Lambda',Lambda;'Betam',Betam;'VarAlpha',VarAlpha;'fl',fl;'fe',fe);     % Structured  variable....
% x = struct('n' [1:N_Total]; 'U' U; 't' t; 'Lambda' Lambda; 'Betam' Betam; 'VarAlpha' VarAlpha; 'fl' fl; 'fe' fe);
% x = struct('n',[1:N_Total],'U',U,'t',t,'Lambda',Lambda,'Betam',Betam,'VarAlpha',VarAlpha,'fl',fl,'fe',fe); 

x.n(n) = n;   % current vehicle...
x.U(n) = U(n);
x.t(n) = t(n);
x.Lambda(n) = Lambda(n);
x.Betam(n) = Betam(n);
x.VarAlpha(n) = VarAlpha(n);
x.fl(n) = fl(n);
x.fe(n) = fe(n);

x

%f = @(x.n(n), x.U(n), x.t(n), x.Lambda(n), x.Betam(n), x.VarAlpha(n), x.fl(n), x.fe(n))CostTimeDCal1;
% f = @(x(1).n, x.U, x.t, x.Lambda, x.Betam, x.VarAlpha, x.fl, x.fe)CostTimeDCal1;
% f = @(n, U, t, Lambda, Betam, VarAlpha, fl, fe)CostTimeDCal1;
% f = @(n, U(n), t(n), Lambda(n), Betam(n), VarAlpha(n), fl(n), fe(n))CostTimeDCal1;
% f = @(n, Un, tn, Lambdan, Betamn, VarAlphan, fln, fen)CostTimeDCal1;
f = @(x)CostTimeDCal1;
% NARGIN
% NARGOUT
% [U,t] = f(n,U,t,Lambda,Betam,VarAlpha,fl,fe);
% [U,t] = f(n(n),U(n),t(n),Lambda(n),Betam(n),VarAlpha(n),fl(n),fe(n));
[Ur,tr] = f(x.n(n),x.U(n),x.t(n),x.Lambda(n),x.Betam(n),x.VarAlpha(n),x.fl(n),x.fe(n));
% [Ur,tr] = f(x, x.n(n) x.U(n) x.t(n) x.Lambda(n) x.Betam(n) x.VarAlpha(n) x.fl(n) x.fe(n));
% [Ur,tr] = f(x.n,x.U,x.t,x.Lambda,x.Betam,x.VarAlpha,x.fl,x.fe);
% [Ur,tr] = f(x);
% [Ur,tr] = f(n(n),U(n),t(n),Lambda(n),Betam(n),VarAlpha(n),fl(n),fe(n));
% U(Vehiclen)
% t(Vehiclen)

Answer 1

[Walter Roberson]

f = @(x)CostTimeDCal1;

That says that when f is called, it should ignore its single input parameter and call CostTImeDCal1 with no input parameters. Are you sure that is what you want?

[Ur,tr] = f(x.n(n),x.U(n),x.t(n),x.Lambda(n),x.Betam(n),x.VarAlpha(n),x.fl(n),x.fe(n));

and there you call f with 8 input parameters. But f only expects one input parameter (which it would ignore anyhow.)

The code that is most likely for this kind of situation is:

f = @CostTImeDCal1;

and

[Ur,tr] = f([x.n(n),x.U(n),x.t(n),x.Lambda(n),x.Betam(n),x.VarAlpha(n),x.fl(n),x.fe(n)]);

[muhammad ilyas khattak khattak]

@Walter Roberson once again many thanks walter for your time and fast reply.....i am calling this function to be used in one of the optimization problem.... ..... given in the attachment....given your expertie, if you get time, kindly share with me any relevant suggestions/guidance to script in matalb for solving an optimization problem of the type attached... any needed further equations, feel free to contact....if you dont get time, its alright.... your above answer is of much help....