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...

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Vydáno v:	Mathematical and computer modelling Ročník 54; číslo 11; s. 2913 - 2922
Hlavní autoři:	Ganesan, T., Vasant, P., Elamvazuthi, I.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Kidlington Elsevier Ltd 01.12.2011 Elsevier
Témata:	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
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