# Optimizing multiple output parameters for a given input

Problem statement:

I'm trying to solve a problem statement using C# as programming language. In the problem system for an input (double/decimal) say $H_i$, the output generated is a form of dataset containing number of parameters ($F_i$, $P_i$ and $T_i$). I somehow have to filter out only those entries in the data set which would satisfy the following conditions:

• $F_i > F_\min$, where $F_\min$ is some constant;
• $P_i > P_\min$, where $P_\min$ is some constant; and
• $T_i < T_\max$, where $T_\max$ is some constant.

Is there an efficient algorithm I could use in such cases where I could zero in on an optimal set of values for $H_i$ for which the output parameter values are well within the constraints. Also I thought using Genetic Algorithms in this case makes sense but somehow I'm not able to formulate and derive a fitness function for my requirement

Any suggestions on how to approach to solve such problem is truly appreciated.

Kindly do not downvote this question as vague.

• Sorry, but I can't understand the formulation of your problem. Can you please make it clear? – nicoguaro Feb 10 '16 at 16:24
• In fact @FancyPants has understood and formulated it correctly what is that I'm trying to achieve. – this-Me Feb 11 '16 at 11:08