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GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
16 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
2007
Springer
171views Optimization» more  GECCO 2007»
16 years 1 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull
DSN
2003
IEEE
16 years 5 days ago
Comparison of Failure Detectors and Group Membership: Performance Study of Two Atomic Broadcast Algorithms
Protocols that solve agreement problems are essential building blocks for fault tolerant distributed systems. While many protocols have been published, little has been done to ana...
Péter Urbán, Ilya Shnayderman, Andr&...
GECCO
2010
Springer
220views Optimization» more  GECCO 2010»
15 years 10 months ago
Interday foreign exchange trading using linear genetic programming
Foreign exchange (forex) market trading using evolutionary algorithms is an active and controversial area of research. We investigate the use of a linear genetic programming (LGP)...
Garnett Carl Wilson, Wolfgang Banzhaf
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
15 years 9 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
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