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GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
13 years 8 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
Gearoid Murphy, Conor Ryan
CI
2007
130views more  CI 2007»
13 years 7 months ago
Price Dynamics, Informational Efficiency, and Wealth Distribution in Continuous Double-Auction Markets
This paper studies the properties of the continuous double auction trading mechanishm using an artificial market populated by heterogeneous computational agents. In particular, we...
Javier Gil-Bazo, David Moreno, Mikel Tapia
NECO
2007
108views more  NECO 2007»
13 years 6 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
ALIFE
2006
13 years 7 months ago
Genetic Stability and Territorial Structure Facilitate the Evolution of Tag-Mediated Altruism
Evolutionary theorists have long been interested in the conditions that permit the evolution of altruistic cooperation. Recent work has demonstrated that altruistic donation can ev...
Lee Spector, Jon Klein
EC
2002
228views ECommerce» more  EC 2002»
13 years 7 months ago
Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Gen
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
Rajeev Kumar, Peter Rockett