'In many real-world optimization problems including engineering problems, the number of fitness function evaluations needed to obtain a good solution dominates the optimization cost. In order to obtain efficient optimization algorithms, it is crucial to use prior information gained during the optimization process. Conceptually, a natural approach to utilizing the known prior information is building a model of the fitness function to assist in the selection of candidate solutions for evaluation. A variety of techniques for constructing of such a model, often also referred to as surrogates, metamodels or approximation models – for computationally expensive optimization problems have been considered.'
Tags: Workout , gym , loss , weight , lose , Health , bodybuilding , cute , body , muscle , Weight Training (Hobby) , muscles , Physical Fitness (Industry) , Physical Exercise (Interest) , Weight Loss (The Office) , beautiful , pretty , Bodybuilder , Sexy Models , Weight Loss (Symptom) , Fitness (Magazine) , Exercise For Woman
See also:
comments