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GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
10 years 9 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
GECCO
2009
Springer
157views Optimization» more  GECCO 2009»
10 years 9 months ago
Multi material topological optimization of structures and mechanisms
Multi-material 3D-printing technologies permit the freeform fabrication of complex spatial arrangements of materials in arbitrary geometries. This technology has opened the door t...
Jonathan D. Hiller, Hod Lipson
GECCO
2009
Springer
163views Optimization» more  GECCO 2009»
10 years 9 months ago
Dealing with inheritance in OO evolutionary testing
Most of the software developed in the world follows the object-oriented (OO) paradigm. However, the existing work on evolutionary testing is mainly targeted to procedural language...
Javier Ferrer, J. Francisco Chicano, Enrique Alba
GECCO
2009
Springer
10 years 9 months ago
The relationship between evolvability and bloat
Bloat is a common problem with Evolutionary Algorithms (EAs) that use variable length representation. By creating unnecessarily large individuals it results in longer EA runtimes ...
Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jo...
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
10 years 9 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
10 years 9 months ago
Evolutionary algorithms and dynamic programming
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
Benjamin Doerr, Anton Eremeev, Christian Horoba, F...
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
10 years 9 months ago
Cheating for problem solving: a genetic algorithm with social interactions
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin
GECCO
2009
Springer
10 years 9 months ago
Effects of a deterministic hill climber on hBOA
Elizabeth Radetic, Martin Pelikan, David E. Goldbe...
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
10 years 9 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
GECCO
2009
Springer
167views Optimization» more  GECCO 2009»
10 years 9 months ago
Fixed-parameter evolutionary algorithms and the vertex cover problem
In this paper, we consider multi-objective evolutionary algorithms for the Vertex Cover problem in the context of parameterized complexity. We relate the runtime of our algorithms...
Stefan Kratsch, Frank Neumann
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