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.
The LCS and GBML community stop
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.
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!
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
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.
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).
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:
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.
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:
The submission deadlines for all competitions are in June 2010. For more information, visit GECCO-2010 Competitions page.
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.