Optimization of nonlinear geological structure mapping using hybrid neuro-genetic techniques

A fairly reasonable result was obtained for nonlinear engineering problems using the optimization techniques such as neural network, genetic algorithms, and fuzzy logic independently in the past. Increasingly, hybrid techniques are being used to solve the nonlinear problems to obtain a better output...

Full description

Saved in:

Bibliographic Details
Published in:	Mathematical and computer modelling Vol. 54; no. 11; pp. 2913 - 2922
Main Authors:	Ganesan, T., Vasant, P., Elamvazuthi, I.
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.12.2011 Elsevier
Subjects:	algorithms Calculus of variations and optimal control engineering Engineering problems Exact sciences and technology fuzzy logic General logic Genetic programming Geological structure mapping geophysics Hybrid optimization hybrids Logic and foundations Mathematical analysis Mathematical logic, foundations, set theory Mathematics Methods of scientific computing (including symbolic computation, algebraic computation) neural networks Neuro-genetic programming Nonlinear Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Numerical methods in optimization and calculus of variations Sciences and techniques of general use surveys Geological structure mapping Nonlinear Neuro-genetic programming Engineering problems Hybrid optimization Genetic programming Optimization method Nonlinear problems Neural network Fuzzy logic Numerical analysis Genetic algorithm Applied mathematics Function minimization Variational calculus Mathematical model Comparative study Computer aided analysis Mathematical programming
ISSN:	0895-7177, 1872-9479
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!