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81
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 6 months 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
84
Voted
CONTEXT
2007
Springer
15 years 6 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...
58
Voted
EOR
2000
43views more  EOR 2000»
15 years 15 days 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
107
Voted
EVOW
2010
Springer
15 years 7 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...
109
Voted
CSMR
2007
IEEE
15 years 7 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...