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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 1 months ago
A new evolutionary model for detecting multiple optima
Multimodal optimization problems consist in detecting all global and local optima of a problem. A new evolutionary approach to multimodal optimization called Roaming technique (RO...
Rodica Ioana Lung, D. Dumitrescu
SCAI
2001
13 years 8 months ago
A Step Towards Incremental On-Board Evolutionary Robotics
We apply evolutionary algorithm (EA) to the design of controller for adaptive robots. EAs can be successful for more complicated tasks, where traditional engineering methods strugg...
Pavel Petrovic
SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
14 years 1 months ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 1 months ago
Exploring selection mechanisms for an agent-based distributed evolutionary algorithm
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
A. E. Eiben, Marc Schoenauer, Juan Luís Jim...
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
14 years 1 months ago
Investigations in meta-GAs: panaceas or pipe dreams?
A meta-GA (GA within a GA) is used to investigate evolving the parameter settings of genetic operators for genetic and evolutionary algorithms (GEA) in the hope of creating a self...
Jeff Clune, Sherri Goings, Bill Punch, Eric Goodma...