EASEA (EAsy Specification of Evolutionary Algorithms) is an Artificial Evolution platform that allows scientists with only basic skills in computer science to exploit the massive parallelism of many-core architectures in order to optimize virtually any real-world problems (continous, discrete, combinatorial, mixed and more (with Genetic Programming)), typically allowing for speedups up to x1,000 on a $5,000 machine, depending on the complexity of the evaluation function of the inverse problem to be solved. The EASEA code is also compatible with standard CPU machines and can run in parallel over a loosely coupled heterogenous architecture (typically PCs under Windows or Linux and Macintosh, with or without GPGPU cards that have internet access) through an embedded island model. $

References in zbMATH (referenced in 14 articles )

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  1. Parrend, Pierre; Collet, Pierre: A review on complex system engineering (2020)
  2. Kolonias, Vasileios; Goulas, George; Gogos, Christos; Alefragis, Panayiotis; Housos, Efthymios: Solving the examination timetabling problem in GPUs (2014)
  3. Alba, Enrique; Luque, Gabriel; Nesmachnow, Sergio: Parallel metaheuristics: recent advances and new trends (2013)
  4. Cano, Alberto; Zafra, Amelia; Ventura, Sebastián: Speeding up the evaluation phase of GP classification algorithms on GPUs (2012) ioport
  5. Contreras, Iván; Jiang, Yiyi; Hidalgo, J. Ignacio; Núñez-Letamendia, Laura: Using a GPU-CPU architecture to speed up a GA-based real-time system for trading the stock market (2012) ioport
  6. Maitre, Ogier; Krüger, Frédéric; Querry, Stéphane; Lachiche, Nicolas; Collet, Pierre: EASEA: specification and execution of evolutionary algorithms on GPGPU (2012) ioport
  7. Langdon, W. B.: Graphics processing units and genetic programming: an overview (2011) ioport
  8. Langdon, William B.: Large scale bioinformatics data mining with parallel genetic programming on graphics processing units (2010)
  9. Ventura, Sebastián; Romero, Cristóbal; Zafra, Amelia; Delgado, José A.; Hervás, César: JCLEC: a Java framework for evolutionary computation (2008) ioport
  10. Legrand, Pierrick; Bourgeois-Republique, Claire; Péan, Vincent; Harboun-Cohen, Esther; Levy-Vehel, Jacques; Frachet, Bruno; Lutton, Evelyne; Collet, Pierre: Interactive evolution for cochlear implants Fitting (2007) ioport
  11. Keijzer, M.; Merelo, J. J.; Romero, G.; Schoenauer, Marc: Evolving objects: A general purpose evolutionary computation library (2002)
  12. Lutton, Evelyne; Collet, Pierre; Louchet, Jean: EASEA comparisons on test functions: GALib versus EO (2002)
  13. Bolis, Enzo; Zerbi, Christian; Collet, Pierre; Louchet, Jean; Lutton, Evelyne: A GP artificial ant for image processing: preliminary experiments with EASEA (2001)
  14. Lévy Véhel, Jacques; Lutton, Evelyne: Evolutionary signal enhancement based on Hölder regularity analysis (2001)