Video from the 2010 simulated car racing championship at GECCO-2010

A video of the 2010 Simulated Car Racing Championship at GECCO-2010 can be found on youtube:

The video was edited by Pier Luca Lanzi, the championship was organized by Daniele Loiacono, Luigi Cardamone, Martin V. Butz and Pier Luca Lanzi.

A video of the 2010 Simulated Car Racing Championship at GECCO-2010 can be found on youtube:

The video was edited by Pier Luca Lanzi, the championship was organized by Daniele Loiacono, Luigi Cardamone, Martin V. Butz and Pier Luca Lanzi.

Pictures from ACM SIGEVO Business Meeting at GECCO-2010

Here’re some pictures from the ACM SIGEVO Business Meeting at GECCO-2010. The pictures include some speakers and most award recipients. Quality is not always perfect, but at least something… Enjoy!

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Here’re some pictures from the ACM SIGEVO Business Meeting at GECCO-2010. The pictures include some speakers and most award recipients. Quality is not always perfect, but at least something… Enjoy!

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GECCO-2010 Awards

Numerous awards were given at ACM SIGEVO Genetic and Evolutionary Computation Conference (GECCO-2010) in Portland, Oregon. Congratulations to the winners! ACM SIGEVO GECCO Impact Award Natalio Krasnogor and Jim Smith A Memetic Algorithm with Self-Adaptive Local Search: TSP as a case study Best Paper Award Winners Ant Colony Optimization and Swarm Intelligence Manuel López-Ibáñez, Thomas […]

Numerous awards were given at ACM SIGEVO Genetic and Evolutionary Computation Conference (GECCO-2010) in Portland, Oregon. Congratulations to the winners!

ACM SIGEVO GECCO Impact Award

Natalio Krasnogor and Jim Smith
A Memetic Algorithm with Self-Adaptive Local Search: TSP as a case study

Best Paper Award Winners

Ant Colony Optimization and Swarm Intelligence

Manuel López-Ibáñez, Thomas Stützle
The Impact of Design Choices of Multiobjective Ant Colony Optimization on Performance: An Experimental Study on the Biobjective TSP

Artificial Life, Evolutionary Robotics, Evolvable Hardware

Brian Connelly, Benjamin Beckmann, Philip McKinley
Resource Abundance Promotes the Evolution of Public Goods Cooperation

Bioinformatics, Computational, Systems and Synthetic Biology

Ryan Urbanowicz, Jason Moore
The Application of Michigan-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies

Combinatorial Optimization and Metaheuristics

Shelly X. Wu, Wolfgang Banzhaf
A Hierarchical Cooperative Evolutionary Algorithm

Estimation of Distribution Algorithms

Peter A. N. Bosman
The Anticipated Mean Shift and Cluster Registration in Mixture-based EDAs for Multi-Objective Optimization

Evolutionary Multiobjective Optimization

Tamara Ulrich, Johannes Bader, Eckart Zitzler
Integrating Decision Space Diversity Into Hypervolume-based Multiobjective Search

Karl Bringmann, Tobias Friedrich
The Maximum Hypervolume Set Yields Near-optimal Approximation

Evolution Strategies and Evolutionary Programming

Dirk Arnold, Nikolaus Hansen
Active Covariance Matrix Adaptation for the (1+1) CMA-ES

Generative and Developmental Systems

Sebastian Risi, Joel Lehman, Kenneth Stanley
Evolving the Placement and Density of Neurons in the HyperNEAT Substrate

Genetic Algorithms

Martin Pelikan
NK Landscapes, Problem Difficulty, and Hybrid Evolutionary Algorithms

Genetic Programming

Leonardo Trujillo, Pierrick Legrand, Jacques Lévy-Véhel
The Estimation of Hölderian Regularity using Genetic Programming

Genetics-Based Machine Learning

María A. Franco, Natalio Krasnogor, Jaume Bacardit
Speeding Up the Evaluation of Evolutionary Learning Systems Using GPGPUs

Parallel Evolutionary Systems

Jörg Lässig, Dirk Sudholt
The Benefit of Migration in Parallel Evolutionary Algorithms

Real World Applications

Leonardo Trujillo, Pierrick Legrand, Gustavo Olague, Cynthia Pérez
Optimization of the Hölder Image Descriptor using a Genetic Algorithm

Search Based Software Engineering

Alexander Conrad, Robert Roos, Gregory Kapfhammer
Empirically Studying the Role of Selection Operators During Search-Based Test Suite Prioritization

Theory

Benjamin Doerr, Daniel Johannsen, Carola Winzen
Multiplicative Drift Analysis

Per Kristian Lehre, Carsten Witt
Black-Box Search by Unbiased Variation

Graduate Student Workshop Award Winner

Adriana Lara, Carlos Coello Coello, Oliver Schuetze
Using Gradient Information for Multi-objective Problems in the Evolutionary Context

GECCO-2010 Competitions

Evolutionary Art Competition

Fernando Graça and Penousal Machado
Evolving Assemblages

GPUs for Genetic and Evolutionary Computation

Nicholas A. Sinnott-Armstrong , Delaney Granizo-Mackenzie, Jason H. Moore
High Performance Parallel Disease Detection: an Artificial Immune System for GPUs

2010 Simulated Racing Car Championship

E. Onieva
AUTOPIA

Human-Competitive Competition (HUMIES)

Bronze Medal

Michael Schmidt and Hod Lipson
Solving Iterated Functions Using Genetic Programming

Thomas Bäck et al.
Optimizing Medical Image Analysis Systems

Silver Medal

Marc Schoenauer et al.
An Evolutionary Metaheuristic for Domain-Independent Satisficing Planning

Gold Medal

Natalio Krasnogor et al.
Evolutionary Design of Energy Functions for Protein Structure Prediction

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Interview with Brian Arthur on his new book, the Nature of Technology

Changesurfer Radio published an audio interview with Brian Arthur on his new book The Nature of Technology. The book argues that technologies evolve; they are composed of prior technologies and are subject to natural selection. The interview can be found at Changesurfer Radio. Brian Arthur is a keynote speaker at GECCO-2010, which takes place on […]

Changesurfer Radio published an audio interview with Brian Arthur on his new book The Nature of Technology. The book argues that technologies evolve; they are composed of prior technologies and are subject to natural selection.

The interview can be found at Changesurfer Radio.

Brian Arthur is a keynote speaker at GECCO-2010, which takes place on July 7-11, 2010 in Portland, OR. For more information on the planned GECCO-2010 keynote, visit GECCO-2010 Keynotes page.

Mark A. Bedau to give a keynote at GECCO-2010

Not too long ago, I announced the GECCO-2010 keynote by W. Brian Arthur. GECCO-2010 features two fascinating keynotes. In addition to the aforementioned keynote by Brian Arthur, Mark A. Bedau will speak on machine learning optimization of highly synergistic biological and biochemical systems. More information about the speech follows: Title: Coping with complexity: machine learning […]

Not too long ago, I announced the GECCO-2010 keynote by W. Brian Arthur. GECCO-2010 features two fascinating keynotes. In addition to the aforementioned keynote by Brian Arthur, Mark A. Bedau will speak on machine learning optimization of highly synergistic biological and biochemical systems. More information about the speech follows:

Title: Coping with complexity: machine learning optimization of
highly synergistic biological and biochemical systems

Abstract: Biological and biochemical systems typically contain
complex chemical reactions with many nonlinearities and synergies.
This complexity often prevents a complete understanding of the
system, particularly with regard to the prediction of system
properties, as experimental parameters such as concentrations,
temperature, etc. are changed. This talk describes how a number of
different biological and biochemical systems (drug combinations,
drug formulations, and protein synthesis) were optimized through a
series of iterated high-throughput experiments that are guided by a
machine-learning algorithm implementing a form of evolutionary
design of experiments. The algorithm predicts fruitful experiments
from statistical models of the previous experimental results,
combined with stochastic exploration of the experimental space.
These results demonstrate how experimenting on only a tiny but
intelligently chosen fraction of the experimental space can very
quickly significantly increase the desired response. This
evolutionary design of experiments demonstrates the capability for
significant innovation, as well as gradual improvement. It is to be
expected that continually growing interest in complex experiments,
combined with continued improvement in automation of high-throughput
experimentation through use of laboratory robotics, will lead to
widespread adoption of this approach.

Biosketch of the speaker: Prof. Mark A. Bedau (Ph.D. Philosophy, UC Berkeley, 1985; Professor of Philosophy and Humanities at Reed College) is an internationally recognized leader in the philosophical and scientific study of living systems. He has published and lectured around the world extensively on philosophical and scientific issues concerning emergence, evolution, life, mind, and the social and ethical implications of creating life from nonliving materials. Because he combines training in analytical philosophy with two decades of experience in artificial life, he is a uniquely qualified expert in the philosophical foundations of the life sciences, and has published over 100 research papers, co-authored or co-edited 10 books, including Emergence: Contemporary Readings in Philosophy and
Science (MIT Press), The Nature of Life (Cambridge University Press), Protocells: Bridging Nonliving and Living Matter (MIT Press), The Prospect of Protocells: Social and Ethical Implications of Creating Life from Scratch (MIT Press). He has given over 200 lectures in more than 20 countries to audiences in artificial life, computer science, biology, philosophy, cognitive science, psychology, economics, physics, and mathematics, on a variety of philosophical and scientific topics including emergence, evolution,
life, mind, and the social and ethical implications of creating life from scratch. He is Editor-in-Chief of the journal Artificial Life (published by MIT Press), and co-organized the last 6 international conferences on artificial life. Most recently, he co-founded ProtoLife, Inc., a start-up company with the long-term aim of creating useful artificial cells. He simultaneously co-founded the European Center for Living Technology, a research institute in Venice, Italy, that investigates theoretical and practical issues associated with living systems. He is a regular Visiting Professor at the European School for Molecular Medicine (Milan, Italy), and also at the University of Southern Denmark (Odense, Denmark).

Demolition derby, another GECCO-2010 competition

http://www.flickr.com/photos/jrandallc/ / CC BY-SA 2.0
GECCO-2010 has yet another exciting competition! The fourth competition at GECCO-2010 is called Demolition Derby. As the name suggests, the goal of Demolition Derby is simple: wreck all opponent cars by crashing into them without getting wrecked yourself. The submission deadline for this competition is June 27th 2010. More information can […]

GECCO-2010 has yet another exciting competition! The fourth competition at GECCO-2010 is called Demolition Derby. As the name suggests, the goal of Demolition Derby is simple: wreck all opponent cars by crashing into them without getting wrecked yourself. The submission deadline for this competition is June 27th 2010. More information can be found on GECCO-2010 Competitions page.

Besides the demolition derby, GECCO-2010 houses another three competitions, which we announced earlier:

  • Evolutionary Art Competition
  • GPUs for Genetic and Evolutionary Computation
  • 2010 Simulated Car Racing Championship

W. Brian Arthur to give a keynote at GECCO-2010

I am pleased to announce that one of the GECCO-2010 keynotes will be given by W. Brian Arthur. More on the speech below:
Title: Combinatorial evolution in technology and an algorithm this suggests
Abstract: Brian Arthur will talk about his new book, The Nature of Technology, which lays out an understanding of how technology comes into being […]

I am pleased to announce that one of the GECCO-2010 keynotes will be given by W. Brian Arthur. More on the speech below:

Title: Combinatorial evolution in technology and an algorithm this suggests

Abstract: Brian Arthur will talk about his new book, The Nature of Technology, which lays out an understanding of how technology comes into being and how it evolves. He will also talk about a new algorithm based on technological evolution that builds up families of technologies from ones that previously exist; and discuss how it compares with genetic algorithms.

Biosketch of the speaker: Brian Arthur´s background is in engineering and mathematics, but he is best known as an economist. From 1983 to 1996 he was Dean and Virginia Morrison Professor of Population Studies and Economics at Stanford. And from 1988 to 2004 he was Citibank Professor at the Santa Fe Institute. Arthur is well-known for his “theory of increasing returns”, which explains what happens when products that gain market share find it easier to gain further market share, and how such positive feedbacks lock markets in to the domination of one or two players. Arthur is also one of the pioneers of the science of complexity – the science of how patterns and structures self-organize. He directed the Santa Fe Institute´s first research program in 1988. He is the recipient of the International Schumpeter Prize in Economics, the inaugural Lagrange Prize in Complexity Science, and two honorary doctorates.

GECCO-2010 competitions

ACM SIGEVO Genetic and Evolutionary Computation Conference (GECCO-2010) features three important competitions:

Evolutionary art competition
GPUs for genetic and evolutionary computation
Simulated car racing competition 2010

The submission deadlines…

ACM SIGEVO Genetic and Evolutionary Computation Conference (GECCO-2010) features three important competitions:

  • Evolutionary art competition
  • GPUs for genetic and evolutionary computation
  • Simulated car racing competition 2010

The submission deadlines for all competitions are in June 2010. For more information, visit GECCO-2010 Competitions page.

Optimization by Building and Using Probabilistic Models (OBUPM-2010) Workshop

The workshop Optimization by Building and Using Probabilistic Models (OBUPM-2010) will take place at the Genetic and Evolutionary Computation Conference (GECCO-2010) in Portland, OR. OBUPM-2010 is organized by Mark Hauschild and Martin Pelikan.
We look forward to seeing you there and invite submission of papers for the workshop. The deadline for paper submission is March 25, […]

The workshop Optimization by Building and Using Probabilistic Models (OBUPM-2010) will take place at the Genetic and Evolutionary Computation Conference (GECCO-2010) in Portland, OR. OBUPM-2010 is organized by Mark Hauschild and Martin Pelikan.

We look forward to seeing you there and invite submission of papers for the workshop. The deadline for paper submission is March 25, 2010. Please check the website of OBUPM-2010 for more detailed information.