TY - JOUR
T1 - Human evolutionary model
AU - Montiel, Oscar
AU - Castillo, Oscar
AU - Melin, Patricia
AU - Rodríguez-Díaz, Antonio
AU - Sepúlveda, Roberto
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
KW - HEM
KW - Human Evolutionary Model
KW - Optimization
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=27144521625&partnerID=8YFLogxK
U2 - 10.1515/JISYS.2005.14.2-3.213
DO - 10.1515/JISYS.2005.14.2-3.213
M3 - Artículo
SN - 0334-1860
VL - 14
SP - 213
EP - 236
JO - Journal of Intelligent Systems
JF - Journal of Intelligent Systems
IS - 2-3
ER -