Quick search
Go!

GENETIC ALGORITHMS OPTIMIZATION USING NEURAL NETWORKS


CURCA RADU
UNIVERSITY “POLITEHNICA” BUCHAREST

Issue:

MOCM, Number 14, Volume IV

Section:

Issue No. 14 - Volume IV (2008)

Abstract:

The real life provides a large range of problems, which cannot be solved in any traditional way. An efficient approach of solving them is to use genetic algorithms. Genetic algorithms represent a search method that can be used for both solving problems and modeling evolutionary systems. Genetic algorithms are implemented as a simulation in which a population of representations of candidate solutions to a problem evolves toward better solutions. All the traditional approaches are based on evolution only, while the proposed approach will try to integrate learning in the evolutionary process.

Keywords:

genetic algorithms, evolution, optimization, neural networks, learning.

Code [ID]:

MOCM200814V04S01A0004 [0002424]

DOI:


Copyright (c) 1995-2007 University of Bacău