% OBJECTIVE FUNCTION
f  = @(x) [x(:,1), (1+x(:,2)).*exp(-x(:,1)./(1+x(:,2)))]

% OPTIMIZATION SETTINGS
o = struct	% initializing struct 
g1 = @(x) (1+x(:,2)).*exp(-x(:,1)./(1+x(:,2)))./(0.858*exp(-0.541* x(:,1))) -1
g2 = @(x) (1+x(:,2)).*exp(-x(:,1)./(1+x(:,2)))./(0.728*exp(-0.295* x(:,1))) -1
o.g = @(x) g1(x).*(g1(x)<0) + g2(x).*(g2(x)<0)	% constraints
o.d = 2	% dimension of decision variable
o.lb = 0	% lower bounds
o.ub = 1	% upper bounds

% ALGORITHM OPTIONS

o.maxit = 50	% number of iterations 
o.pop = 300	% 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 = 4	% frame frequency 
% optimview('nsga2',info)