Genetic Programming : 9th European Conference, Eurogp 2006, Budapest, Hungary, April 10-12, 2006. Proceedings - Pierre Collet

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Genetic Programming

9th European Conference, Eurogp 2006, Budapest, Hungary, April 10-12, 2006. Proceedings

By: Pierre Collet (Editor), Marco Tomassini (Editor), Marc Ebner (Editor)

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Paperback | 23 March 2006

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380 Pages

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This book constitutes the refereed proceedings of the 9th European Conference on Genetic Programming, EuroGP 2006, held in Budapest, Hungary, in April 2006, colocated with EvoCOP 2006. The 21 revised plenary papers and 11 revised poster papers were carefully reviewed and selected from 59 submissions. The papers address fundamental and theoretical issues, along with a wide variety of papers dealing with different application areas.

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Vision Computer Programming & Software Development Algorithms & Data Structures Science Biology, Life Sciences Software Engineering

802.11 de-authentication attack detection using genetic programming	p. 1
A divide & conquer strategy for improving efficiency and probability of success in genetic programming	p. 13
A genetic programming approach to Solomonoff's probabilistic induction	p. 24
A less destructive, context-aware crossover operator for GP	p. 36
AQUAGP : approximate QUery answers using genetic programming	p. 49
Blindbuilder : a new encoding to evolve lego-like structures	p. 61
Dynamic scheduling with genetic programming	p. 73
Emergent generality of adapted locomotion gaits of simulated snake-like robot	p. 85
Evolving crossover operators for function optimization	p. 97
Genetic programming, validation sets, and parsimony pressure	p. 109
Geometric crossover for biological sequences	p. 121
Incentive method to handle constraints in evolutionary algorithms with a case study	p. 133
Iterative filter generation using genetic programming	p. 145
Iterative prototype optimisation with evolved improvement steps	p. 154
Learning recursive functions with object oriented genetic programming	p. 166
Negative slope coefficient : a measure to characterize genetic programming fitness landscapes	p. 178
Population clustering in genetic programming	p. 190
Projecting financial data using genetic programming in classification and regression tasks	p. 202
Solving Sudoku with the GAuGE system	p. 213
The halting probability in Von Neumann architectures	p. 225
Using subtree crossover distance to investigate genetic programming dynamics	p. 238
Characterizing diversity in genetic programming	p. 250
Complexity and cartesian genetic programming	p. 260
Design of robust communication systems using genetic algorithms	p. 270
Developmental evaluation in genetic programming : the preliminary results	p. 280
Evolving noisy oscillatory dynamics in genetic regulatory networks	p. 290
Information-dependent switching of identification criteria in a genetic programming system for system identification	p. 300
Invariance of function complexity under primitive recursive functions	p. 310
On the locality of grammatical evolution	p. 320
Optimizing the initialization of dynamic decision heuristics in DPLL SAT solvers using genetic programming	p. 331
P-CAGE : an environment for evolutionary computation in peer-to-peer systems	p. 341
Positional independence and recombination in Cartesian genetic programming	p. 351
Table of Contents provided by Blackwell. All Rights Reserved.

Genetic Programming

9th European Conference, Eurogp 2006, Budapest, Hungary, April 10-12, 2006. Proceedings

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