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GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
14 years 6 months ago
Apply ant colony optimization to Tetris
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi,...
GECCO
2009
Springer
111views Optimization» more  GECCO 2009»
14 years 6 months ago
Evolving quorum sensing in digital organisms
For centuries it was thought that bacteria live asocial lives. However, recent discoveries show many species of bacteria communicate in order to perform tasks previously thought t...
Benjamin E. Beckmann, Philip K. McKinley
GECCO
2009
Springer
116views Optimization» more  GECCO 2009»
14 years 6 months ago
Evolving reusable 3d packing heuristics with genetic programming
Sam Allen, Edmund K. Burke, Matthew R. Hyde, Graha...
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 6 months ago
Evolution of functional specialization in a morphologically homogeneous robot
A central tenet of embodied artificial intelligence is that intelligent behavior arises out of the coupled dynamics between an agent’s body, brain and environment. It follows t...
Joshua S. Auerbach, Josh C. Bongard
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
14 years 6 months ago
A multiobjective evolutionary algorithm for the task based sailor assignment problem
Dipankar Dasgupta, Fernando Niño, Deon Garr...
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 6 months ago
Evolution of robust data distribution among digital organisms
This paper describes a study of the evolution of robust communication, specifically the distribution of data among individuals in a population, using digital evolution. In digita...
David B. Knoester, Andres J. Ramirez, Philip K. Mc...
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 6 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»
14 years 6 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»
14 years 6 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
14 years 6 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...