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148
Voted
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 9 months 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...
120
Voted
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 9 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
108
Voted
ATAL
2003
Springer
15 years 9 months ago
A key-based coordination algorithm for dynamic readiness and repair service coordination
This paper describes an agent application for the coordination of aircraft repair, refit, refuel, and rearm teams in a dynamic setting. The paper also presents a new algorithm fo...
Thomas Wagner, Valerie Guralnik, John Phelps
145
Voted
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 8 months ago
Evolving distributed algorithms with genetic programming: election
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
Thomas Weise, Michael Zapf
116
Voted
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
15 years 7 months ago
Real-time construction of aircraft landing schedules using an evolutionary algorithm
This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to evo...
Neil Urquhart