Genetic Programming with Dynamic Fitness for a Remote Sensing Application

Created by W.Langdon from gp-bibliography.bib Revision:1.8414

@InProceedings{FonluptPPSN2000,

• author = "Cyril W. B. Fonlupt and Denis Robilliard",
• title = "Genetic Programming with Dynamic Fitness for a Remote Sensing Application",
• booktitle = "Parallel Problem Solving from Nature - PPSN VI 6th International Conference",
• editor = "Marc Schoenauer and Kalyanmoy Deb and G{\"u}nter Rudolph and Xin Yao and Evelyne Lutton and Juan Julian Merelo and Hans-Paul Schwefel",
• year = "2000",
• publisher = "Springer Verlag",
• address = "Paris, France",
• month = "16-20 " # sep,
• volume = "1917",
• series = "LNCS",
• pages = "191--200",
• keywords = "genetic algorithms, genetic programming, Coastal sea water, K1, K2",
• isbn13 = "978-3-540-45356-7",
• URL = "http://www-lil.univ-littoral.fr/~robillia/Publis/lil-00-2.ps.gz",
• URL = "https://rdcu.be/enmLp",
• DOI = "doi:10.1007/3-540-45356-3_19",
• size = "10 pages",
• abstract = "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.",

}

Genetic Programming entries for Cyril Fonlupt Denis Robilliard

Citations