A series of linear programming constraints on two variables produces a region of possible values for those variables. Solvable problems will have a feasible region in the shape of a simple polygon.
In optimization (a branch of mathematics), a candidate solution is a member of a set of possible solutions to a given problem. A candidate solution does not have to be a likely or reasonable solution to the problem. The space of all candidate solutions is called the feasible region, feasible set, search space, or solution space.
In the case of the genetic algorithm, the candidate solutions are the individuals in the population being evolved by the algorithm.
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