Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Foundations of genetic programming
Foundations of genetic programming
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Dynamic Training Subset Selection for Supervised Learning in Genetic Programming
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Advances in Differential Evolution
Advances in Differential Evolution
Genetic programming model of solid oxide fuel cell stack: first results
International Journal of Information and Communication Technology
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Modeling of solid oxide fuel cell (SOFC) stack-based systems is a powerful approach that can provide useful insights into the nonlinear dynamics of the system without the need for formulating complicated systems of equations describing the electrochemical and thermal properties. This paper presents an efficient genetic programming approach for modeling and simulation of SOFC output voltage versus fuel utilization behavior. This method is shown to outperform the state-of-the-art radial basis function neural network approach for SOFC modeling.