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GECCO
2009
Springer
14 years 2 days ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
ATAL
2007
Springer
13 years 11 months ago
A unified framework for multi-agent agreement
Multi-Agent Agreement problems (MAP) - the ability of a population of agents to search out and converge on a common state - are central issues in many multi-agent settings, from d...
Kiran Lakkaraju, Les Gasser
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 1 months ago
Some novel locality results for the blob code spanning tree representation
The Blob Code is a bijective tree code that represents each tree on n labelled vertices as a string of n − 2 vertex labels. In recent years, several researchers have deployed th...
Tim Paulden, David K. Smith
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
14 years 7 days ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 1 months ago
Takeover times on scale-free topologies
The topological properties of a network directly impact the flow of information through a system. In evolving populations, the topology of inter-individual interactions affects th...
Joshua L. Payne, Margaret J. Eppstein