Problem using Genetic algorithm in toolbox

How to specify your own penalty function while using optimization tool box for genetic algorithm??

[Brendan Hamm]

A penalty function would be part of the objective function you are trying to minimize. Without more information, there is little one could do to elaborate more.

[Parikshit Sharma]

My objective function is

function f = objecfunn(x)

syms t

f = (700/x(1))*((((140/2)^x(1))*(1/factorial(x(1))))/(symsum(((140/2)^t)*1/factorial(t),t,0,x(1))))+(2100/x(2))*((((140/2)^x(2))*(1/factorial(x(2))))/(symsum(((140/2)^t)*1/factorial(t),t,0,x(2))))+ 100*(x-400);

Subject to :

x(1) + 4*x(2) <= 800

((((140/2)^x(1))*(1/factorial(x(1))))/(symsum(((140/2)^t)*1/factorial(t),t,0,x(1))))   <= .6

((((140/2)^x(2))*(1/factorial(x(2))))/(symsum(((140/2)^t)*1/factorial(t),t,0,x(2))))  <= .6

x(1) , x(2) are integers

So it would be very helpful if you can answer these questions

1. Is it possible to use toolbox to solve this problem??

2. If yes then how to incorporate these constraints, i know we can write in space for non linear constraint given in toolbox but then how to change penalty function as x(1) >= 800 and x(2) >= 200 is not possible and so if i include a penalty function 100*(x(1)-800)+100*(x(2)-200),then using if statement should i add this term in objective function?

Please do reply, Thanking you in advance!