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GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
14 years 1 months ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Olfa Nasraoui, Elizabeth Leon
GECCO
2003
Springer
14 years 1 months ago
On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence
In this paper, some guidelines for setting the parameters of quantum-inspired evolutionary algorithm (QEA) are presented. Although the performance of QEA is excellent, there is rel...
Kuk-Hyun Han, Jong-Hwan Kim
CEC
2007
IEEE
14 years 2 months ago
An investigation into dynamic problem solving in a hybrid evolutionary market-based multi-agent system
— Static resources allocation problems have been widely studied. More recently some of this attention has changed to focus on dynamic problems, where problem specifications, con...
D. J. Cornforth
GECCO
2005
Springer
107views Optimization» more  GECCO 2005»
14 years 1 months ago
Investigating the success of spatial coevolution
We investigate the results of coevolution of spatially distributed populations. In particular, we describe work in which a simple function approximation problem is used to compare...
Nathan Williams, Melanie Mitchell
GECCO
2003
Springer
138views Optimization» more  GECCO 2003»
14 years 1 months ago
Emergence of Collective Behavior in Evolving Populations of Flying Agents
We demonstrate the emergence of collective behavior in two evolutionary computation systems, one an evolutionary extension of a classic (highly constrained) flocking algorithm and...
Lee Spector, Jon Klein, Chris Perry, Mark Feinstei...