Marco Tomassini

Alberto Antonioni

Fabio Daolio

Pierre Buesser

The book constitutes the refereed proceedings of the 11th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2013, held in Lausanne, Switzerland, in April 2013. The 51 revised full papers presented were carefully reviewed and selected from a total of 91 submissions. The papers are organized in topical sections on neural networks, evolutionary computation, soft computing, bioinformatics and computational biology, advanced computing, and applications.

11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013, Proceedings

Adaptive and Natural Computing Algorithms

Finale climbing

Pierre Collet

Marc Ebner

Steven Gustafson

Anikó Ekárt

The present volume contains the contributions for the 9th European Conference on Genetic Programming (EuroGP 2006). The conference took place during April 10-12, 2006 in Budapest, Hungary. EuroGP is a well-established conf- ence and the only one exclusively devoted to genetic programming worldwide. EuroGP began as a workshopin 1998 in Paris, and has been held annually since then,becomingaconferenceinEdinburghin2000.Allpreviousproceedingshave been published by Springer in the Lecture Notes in Computer Science series. More recently, EuroGP has been co-located with EvoCOP 2006, the 6th Eu- pean Conference on Evolutionary Computation in Combinatorial Optimization, and the EvoWorkshops, focusing on applications of evolutionary computation, resulting in the largest combined event dedicated to evolutionary computation in Europe. Genetic programming (GP) is evolutionary computation that solves complex problems or tasks by evolving and adapting a population of computer programs, using Darwinian evolution and Mendelian genetics as its sources of inspiration. The 32 papers included in these proceedings address fundamental and theore- cal issues, along with a wide variety of papers dealing with di'erent application areas,suchascomputerscience,engineering,machinelearning,Kolmogorovc- plexity, biology and computational design, showing that GP is a powerful and practical problem-solving paradigm. A rigorous, double-blind, selection mechanism was applied to 59 submitted papers,thatresultedintheacceptanceof21plenarytalks(36%acceptancerate) and 11 poster presentations (54% global acceptance rate for talks and posters).

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

Genetic Programming

Eduardo Sanchez

Evolutionary computing, inspired by the biological world, is one of the emergent technologies of our time. Being essentially a software activity, it has been successfully applied, e.g. for optimization and machine learning in various areas. The tremendous increase in computational power and, more recently, the appearance of a new generation of programmable logic devices allow for a new approach to designing computing machines inspired by biological models: it is now possible to make the hardware itself evolve. This book is based on a workshop on evolvable hardware, held in Lausanne, Switzerland, in October 1995. It reports the state of the art of research in this field and presents two introductory chapters, written with the novice reader in mind.

The Evolutionary Engineering Approach

Towards Evolvable Hardware

Marco Tomassini

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