% OBJECTIVE FUNCTION
f = @(x) [-x.*(x<=1) + (x-2).*(x>1 & x<=3) + (4-x).*(x>3 & x<=4) + (x-4).*(x>4), ...
       (x-5).^2]

% OPTIMIZATION SETTINGS
o = struct	% initializing struct
o.d = 1	% dimension of decision variable
o.lb = -5	% lower bounds
o.ub = 10	% upper bounds

% ALGORITHM OPTIONS

o.maxit = 40	% number of iterations 
o.pop = 40	% number of population 

% OPTIMIZATION 
rng(0)	% for tractability 
[popPos,popFront,popCost,popInfo,traceIt] = nsga2(f,o)	% running minimization  

% ANIMATION
% Uncomment the following code to generate animation % 
% rng(0)
% [~,~,~,~,~,info] = nsga2(f,o)
% info.plot = 'pareto'
% info.animate = true	% plot animation 
% info.animfreq = 2	% frame frequency 
% optimview('nsga2',info)