Sciweavers

GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 8 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 8 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 8 months ago
Towards an evolutionary tool for the allocation of supermarket shelf space
In this paper we set the first steps towards the development of a commercially viable tool that uses evolutionary computation to address the Product to Shelf Allocation Problem (P...
Anna Esparcia-Alcázar, Lidia Lluch-Revert, ...
GECCO
2009
Springer
190views Optimization» more  GECCO 2009»
13 years 8 months ago
Genetic programming for protein related text classification
Since the genomics revolution, bioinformatics has never been so popular. Many researchers have investigated with great success the use of evolutionary computation in bioinformatic...
Marc Segond, Cyril Fonlupt, Denis Robilliard
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 8 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
AUSAI
1997
Springer
13 years 8 months ago
Dominant and Recessive Genes in Evolutionary Systems Applied to Spatial Reasoning
Learning genetic representation has been shown to be a useful tool in evolutionary computation. It can reduce the time required to find solutions and it allows the search process ...
Thorsten Schnier, John S. Gero
PPSN
1998
Springer
13 years 8 months ago
Applying Diffusion to a Cooperative Coevolutionary Model
Abstract. Perhaps one the newest and of the more interesting cooperative approaches to evolutionary computation which has been more recently explored is the area of mutualism. In m...
R. Paul Wiegand
GECCO
1999
Springer
145views Optimization» more  GECCO 1999»
13 years 8 months ago
Three Ways to Grow Designs: A Comparison of Embryogenies for an Evolutionary Design Problem
This paper explores the use of growth processes, or embryogenies, to map genotypes to phenotypes within evolutionary systems. Following a summary of the significant features of em...
Peter J. Bentley, Sanjeev Kumar
UPP
2004
Springer
13 years 10 months ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
13 years 10 months ago
Achieving Shorter Search Times in Voice Conversion Using Interactive Evolution
We have already proposed using evolutionary computation to adjust the voice quality conversion parameters, and we have reported that this approach produces results that are not onl...
Yuji Sato