You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: demo2.m
    path of file: ./repos/Robotics-Toolbox/rvcdlcs/src/thirdparty/differential-evolution
    
    the code of the file until where you have to start completion: function demo2
%DEMO2  Demo for usage of DIFFERENTIALEVOLUTION.
%   DEMO2 starts searching the minimum of Shekel's Foxholes as a demo.
%   Modify this function for your first optimization.

    
function demo2
%DEMO2  Demo for usage of DIFFERENTIALEVOLUTION.
%   DEMO2 starts searching the minimum of Shekel's Foxholes as a demo.
%   Modify this function for your first optimization.
%
%   <a href="differentialevolution.html">differentialevolution.html</a>
%   <a href="https://www.mathworks.com/matlabcentral/fileexchange/18593-differential-evolution">File Exchange</a>
%   <a href="https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=KAECWD2H7EJFN">Donate via PayPal</a>
%
%   Markus Buehren
%   Last modified 31.08.2014
%
%   See also DIFFERENTIALEVOLUTION, FOXHOLES.

% Set title
optimInfo.title = 'Demo 2 (Shekel''s Foxholes)';

% Specify objective function
objFctHandle = @foxholes;

% Define parameter names, ranges, quantizations and initial values:

% Here: single vector-valued parameter with no name, as function foxholes is
% called with a parameter vector as only input
paramDefCell1 = {'', [-25 65; -65 65], [0; 0], [0; 0]};
paramDefCell2 = {'', [-65 65; -65 65], [0; 0], [0; 0]};

% Note: paramDefCell1 is used in first optimization run, paramDefCell2 
% in continuation using a saved result file. Paraemter range paramDefCell1
% does not contain the optimum parameter set!


% No additional function parameters needed
objFctSettings = {};

% No parameter vector needed
objFctParams = [];

% Get default DE parameters
DEParams = getdefaultparams;

% Set number of population members (often 10*D is suggested; here we use
% more as we know that the Foxholes functions has many local minima).
DEParams.NP = 50;

% Do not use slave processes here. If you want to, set feedSlaveProc to 1 and
% run startmulticoreslave.m in at least one additional Matlab session.
DEParams.feedSlaveProc = 0;

% Set times
DEParams.maxiter  = 20;
DEParams.maxtime  = 30;  % in seconds
DEParams.maxclock = [];

% Set display options
DEParams.infoIterations = 1;
DEParams.infoPeriod     = 10;  % in seconds

% Do not send E-mails
emailParams = [];

% Set random state in order to always use the same population members here
setrandomseed(1);

% Start differential evolution
[bestmem, bestval, bestFctParams, nrOfIterations, resultFileName] = differentialevolution(...
  DEParams, paramDefCell1, objFctHandle, objFctSettings, objFctParams, emailParams, optimInfo); %#ok

disp(' ');
disp('Best parameter set returned by function differentialevolution:');
disp(bestmem);

% Continue optimization by loading result file
if DEParams.saveHistory
  
  disp(' ');
  disp(textwrap2(sprintf(...
    'Now continuing optimization by loading result file %s.', resultFileName)));
  disp(' ');
  
  DEParams.maxiter  = 200;
  DEParams.maxtime  = 90;  % in seconds

  [bestmem, bestval, bestFctParams] = differentialevolution(...
    DEParams, paramDefCell2, objFctHandle, objFctSettings, objFctParams, emailParams, optimInfo, ...
    resultFileName); %#ok
  
  disp(' ');
  disp('Best parameter set returned by function differentialevolution:');
  disp(bestFctParams);
end