Question

The restrictions on the possible values of the solution to the optimization problem are called:

Answer 1

Answer:

The restrictions on the possible values of the solution to the optimization problem are called constraints.

An optimization model has three main components-

1. Objective function- this is the one that needs to be optimised.

2. Collection of decision variables- it gives us the solution to the optimization problem.

3. Collection of constraints- this restricts the decision variables.

Answer 2

Answer:

‘Constraints’ are the restrictions on the possible values of the solution to the optimization problem.

Explanation:

Constraints can be categorized as hard constraints and soft constraints. The term constraint optimization can be defined as the process of objective function optimization of corresponding variables by using some constraints on the variables.

The fitness or the objective function can either an energy-based function or a cost function. The function is supposed to be minimized are to be maximized (e.g. utility-based function or reward-based function). The constraints set some collection of condition for the variables which are needed to be satisfied.