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GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
14 years 4 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen
GECCO
2004
Springer
14 years 4 months ago
Self Adaptation of Operator Rates in Evolutionary Algorithms
Abstract. This work introduces a new evolutionary algorithm that adapts the operator probabilities (rates) while evolves the solution of the problem. Each individual encodes its ge...
Jonatan Gomez
GECCO
2004
Springer
14 years 4 months ago
Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms
We present quantitative models for the selection pressure of cellular evolutionary algorithms structured in two dimensional regular lattices. We derive models based on probabilisti...
Mario Giacobini, Enrique Alba, Andrea Tettamanzi, ...
GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
14 years 4 months ago
Automating Evolutionary Art in the Style of Mondrian
Andrés Gómez de Silva Garza, Aram Za...
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
14 years 4 months ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga
GECCO
2004
Springer
123views Optimization» more  GECCO 2004»
14 years 4 months ago
Heuristic Methods for Solving Euclidean Non-uniform Steiner Tree Problems
In this paper, we consider a variation of the Euclidean Steiner Tree Problem in which the space underlying the set of nodes has a specified non-uniform cost structure. This proble...
Ian Frommer, Bruce L. Golden, Guruprasad Pundoor
GECCO
2004
Springer
14 years 4 months ago
A Polynomial Upper Bound for a Mutation-Based Algorithm on the Two-Dimensional Ising Model
Abstract. Fitness functions based on the Ising model are suited excellently for studying the adaption capabilities of randomised search heuristics. The one-dimensional Ising model ...
Simon Fischer
GECCO
2004
Springer
136views Optimization» more  GECCO 2004»
14 years 4 months ago
System Level Hardware-Software Design Exploration with XCS
Abstract. The current trend in Embedded Systems (ES) design is moving towards the integration of increasingly complex applications on a single chip. An Embedded System has to satis...
Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciu...
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
14 years 4 months ago
Using GP to Model Contextual Human Behavior
To create a realistic environment, some simulations require simulated agents with human behavior pattern. Creating such agents with realistic behavior can be a tedious and time con...
Hans Fernlund, Avelino J. Gonzalez