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» An algorithmic approach to knowledge evolution
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SASO
2009
IEEE
14 years 3 months ago
Evolution of Probabilistic Consensus in Digital Organisms
—The complexity of distributed computing systems and their increasing interaction with the physical world impose challenging requirements in terms of adaptation, robustness, and ...
David B. Knoester, Philip K. McKinley
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 2 months ago
Performance analysis of niching algorithms based on derandomized-ES variants
A survey of niching algorithms, based on 5 variants of derandomized Evolution Strategies (ES), is introduced. This set of niching algorithms, ranging from the very first derandom...
Ofer M. Shir, Thomas Bäck
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 2 months ago
Nonlinear dynamics modelling for controller evolution
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...
Julian Togelius, Renzo De Nardi, Hugo Gravato Marq...
CEC
2009
IEEE
14 years 3 months ago
Parameter control in Differential Evolution for constrained optimization
In this Chapter we present the modification of a Differential Evolution algorithm to solve constrained optimization problems. The changes include a deterministic and a self-adapti...
Efrén Mezura-Montes, A. G. Palomeque-Ortiz
ICANNGA
2009
Springer
163views Algorithms» more  ICANNGA 2009»
14 years 11 days ago
Elitistic Evolution: An Efficient Heuristic for Global Optimization
A new evolutionary algorithm, Elitistic Evolution (termed EEv), is proposed in this paper. EEv is an evolutionary method for numerical optimization with adaptive behavior. EEv uses...
Francisco Viveros Jiménez, Efrén Mez...