Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Coevolving functions in genetic programming
Journal of Systems Architecture: the EUROMICRO Journal - Special issue on evolutionary computing
Genetic Programming for Feature Discovery and Image Discrimination
Proceedings of the 5th International Conference on Genetic Algorithms
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Genetic programming for image analysis
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Applying Boosting Techniques to Genetic Programming
Selected Papers from the 5th European Conference on Artificial Evolution
Backwarding: An Overfitting Control for Genetic Programming in a Remote Sensing Application
Selected Papers from the 5th European Conference on Artificial Evolution
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The "ocean color" problem consists in evaluating ocean components concentrations (phytoplankton, sediment, yellow substance) from sunlight reflectance or luminance values at selected wavelengths in the visible band. The interest of this application increases with the availability of new satellite sensors. Moreover monitoring phytoplankton concentrations is a key point for a wide set of problems ranging from greenhouse effect to industrial fishing and signaling toxic algae blooms. To our knowledge, it is the first attempt at this regression problem with Genetic Programming (GP). We show that GP outperforms traditional polynomial fits and rivals artificial neural nets in the case of open ocean waters. We improve on previous works by also solving a range of coastal waters types, providing detailed results on estimation errors. Some experiments were conducted with a dynamic fitness GP algorithm in order to speed up computing time through a process of progressive learning.