The main difference between a feasible solution and an infeasible solution is whether the set of values for the decision variables satisfies all the constraints of the optimization problem. Feasible solutions are valid and lie within the feasible region, while infeasible solutions violate at least one constraint and lie outside the feasible region. In practical optimization, the goal is to find feasible solutions that are optimal with respect to the given objective function.