Human Evolutionary Model

The aim of this paper is to propose the Human Evolutionary Model (HEM) as a novel computational model for solving search and optimization problems with one or multiple objectives. The HEM is inspired in human evolution and it will mimic some of its aspects according to the problem characteristics. This model uses intelligence and intuition as its main driving forces, but it is a synergetic computational model that intends to integrate many of the existing and necessary methods for solving complex system problems. This paper is actually a first approach to this method, and we present promising results.

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