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GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
16 years 22 days ago
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
Xiaodong Li
EC
2008
116views ECommerce» more  EC 2008»
15 years 6 months ago
Efficient Evaluation Functions for Evolving Coordination
Abstract-- This paper presents a method for creating evaluation functions that efficiently promote coordination in a multiagent system, allowing single-agent evolutionary computati...
Adrian K. Agogino, Kagan Tumer

Publication
319views
14 years 4 months ago
 Viability Evolution: Elimination and Extinction in Evolutionary Computation
Current mainstream Evolutionary Algorithms (EA) are based on the concept of selection, encapsulated in the definition of a fitness function. Besides selection, however, the natur...
Claudio Mattiussi
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 7 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer
ECAL
2001
Springer
15 years 11 months ago
Evolving Lives: The Individual Historical Dimension in Evolution
Some benefits of a dialogue between evolutionary robotics and developmental ethology are presented with discussion of how developmental models might inform approaches to evolution...
Rachel Wood