Multiobjective optimization using genetic algorithm

I have an objective function given below. I want to solve it using genetic/evolutionary algorithm (strength pareto SPEA2). Since the algorithm is multi-objective so I consider the income maximization as one objective and expense minimization as second objective. I am using SPEA2 code from YARPIZ. I am not sure whether this approach of breaking objective function is technically correct. Secondly, please also through some light how to do both conflicting objective simultaneously. The code in link is written for minimization of objective functions.

profit = income - expense

[Alan Weiss]

I don't see any linked code.

If you have a multiobjective function to maximize income and minimize expenses, then you should write a two-output objective function:

function F = myobjective(x)
% calculate income and expense here
% then output the following
F(1) = -profit;
F(2) = expense

gamultiobj tries to minimize both objective functions, and gives you the Pareto set where they are as minimal as possible.

Alan Weiss

MATLAB mathematical toolbox documentation

[Saifullah Khalid]

Sir, thanks for insight.