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GECCO
2004
Springer
147views Optimization» more  GECCO 2004»
14 years 2 months ago
A Demonstration of Neural Programming Applied to Non-Markovian Problems
Genetic programming may be seen as a recent incarnation of a long-held goal in evolutionary computation: to develop actual computational devices through evolutionary search. Geneti...
Gabriel Catalin Balan, Sean Luke
IFIP
2001
Springer
14 years 1 months ago
An Evolutionary Approach for Pareto-optimal Configurations in SOC Platforms
: One of the most important problems in SOC platforms design is that of defining strategies for tuning the parameters of a parameterized system so as to obtain the Pareto-optimal s...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
IFIP
2010
Springer
13 years 6 months ago
Supporting DSS Acceptability through a User-Centered Design Methodology: Experiences in Emergency Management
This paper presents a user-centered design methodology for Decision Support Systems (DSSs), which is specifically built to face the socio-technical gap that often impedes DSS accep...
Pietro Baroni, Daniela Fogli, Massimiliano Giacomi...
NC
1998
138views Neural Networks» more  NC 1998»
13 years 10 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
14 years 23 days ago
Growth of self-canceling code in evolutionary systems
This research examines the behavior of inoperative code (introns) in the evolution of genetically robust solutions. Genetically robust solutions are solutions that are less likely...
Xue Zhong, Terence Soule