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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 11 days ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
CONTEXT
2007
Springer
16 years 1 months ago
An Operational Definition of Context
The definition of context experienced an evolution in the research area of context-aware computing, but still suffers from either generality or incompleteness. Furthermore, many de...
Andreas Zimmermann, Andreas Lorenz, Reinhard Opper...
EOR
2000
43views more  EOR 2000»
15 years 6 months ago
A framework for the description of evolutionary algorithms
Evolutionary algorithms (EA) are optimisation techniques inspired from natural evolution processes. They handle a population of individuals that evolve with the help of informatio...
Alain Hertz, Daniel Kobler
EVOW
2010
Springer
16 years 1 months ago
Evolving Individual Behavior in a Multi-agent Traffic Simulator
Abstract. In this paper, we illustrate the use of evolutionary agents in a multiagent system designed to describe the behavior of car drivers. Each agent has the selfish objective ...
Ernesto Sánchez, Giovanni Squillero, Albert...
CSMR
2007
IEEE
16 years 1 months ago
How Clones are Maintained: An Empirical Study
Despite the conventional wisdom concerning the risks related to the use of source code cloning as a software development strategy, several studies appeared in literature indicated...
Lerina Aversano, Luigi Cerulo, Massimiliano Di Pen...