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Massively parallel genetic programming
Hugues Juillé,Jordan Pollack +1 more
- 01 Dec 1996
- pp 339-357
59
About: The article was published on 01 Dec 1996. and is currently open access. The article focuses on the topics: Massively parallel & Genetic programming.
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A Field Guide to Genetic Programming
Riccardo Poli,William B. Langdon,Nicholas Freitag McPhee +2 more
- 26 Mar 2008
TL;DR: A unique overview of this exciting technique is written by three of the most active scientists in GP, which starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination until high-fitness solutions emerge.
Genetic Programming: An Introduction and Tutorial, with a Survey of techniques and Applications
William B. Langdon,Riccardo Poli,Nicholas Freitag McPhee,John R. Koza +3 more
- 01 Jan 2008
TL;DR: This chapter introduces genetic programming (GP) a set of evolutionary computation techniques for getting computers to automatically solve problems without having to tell them explicitly how to do it.
216
A SIMD interpreter for Genetic Programming on GPU Graphics Cards
William B. Langdon
- 03 Jul 2007
TL;DR: In this article, the RapidMind general processing on GPU (GPGPU) framework supports evaluating an entire population of a quarter of a million individual programs on a non-trivial problem in 4 seconds.
124
Graphics processing units and genetic programming: an overview
William B. Langdon
- 01 Aug 2011
TL;DR: This work surveyed genetic programming (GP) use with GPU and showed how the fastest GP is based on an interpreter rather than compilation, and using GP to generate GPU CUDA kernel C++ code is sketched.
A scalable cellular implementation of parallel genetic programming
TL;DR: A new parallel implementation of genetic programming based on the cellular model is presented and compared with both canonical GP and the island model approach and reveals the high scalability of the implementation and allows to predict the size of the population when the number of processors and their efficiency are fixed.