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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
16 years 7 days ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
GECCO
2005
Springer
137views Optimization» more  GECCO 2005»
16 years 7 days ago
Constant generation for the financial domain using grammatical evolution
This study reports the work to date on the analysis of different methodologies for constant creation with the aim of applying the most advantageous method to the dynamic real wor...
Ian Dempsey
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
16 years 7 days ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
16 years 7 days ago
Evolving cooperative strategies for UAV teams
We present a Genetic Programming approach to evolve cooperative controllers for teams of UAVs. Our focus is a collaborative search mission in an uncertain and/or hostile environme...
Marc D. Richards, L. Darrell Whitley, J. Ross Beve...
ICARIS
2005
Springer
16 years 7 days ago
Immunising Automated Teller Machines
Abstract. This paper presents an immune-inspired adaptable error detection (AED) framework for Automated Teller Machines (ATMs). This framework two levels, one level is local to a ...
Modupe Ayara, Jon Timmis, Rogério de Lemos,...
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