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GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
13 years 12 months ago
Heterogeneous cooperative coevolution: strategies of integration between GP and GA
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsec...
ISICA
2007
Springer
14 years 2 months ago
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Qing Zhang, Changhe Li, Yong Liu, Lishan Kang
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
14 years 1 days ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
GECCO
2009
Springer
111views Optimization» more  GECCO 2009»
14 years 2 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
2006
Springer
140views Optimization» more  GECCO 2006»
13 years 12 months ago
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation
We study how different prediction update algorithms influence the performance of XCSF. We consider three classical parameter estimation algorithms (NLMS, RLS, and Kalman filter) a...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...