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94
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 6 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
88
Voted
ISMIS
2000
Springer
15 years 4 months ago
Evolving Behaviors for Cooperating Agents
A good deal of progress has been made in the past few years in the design and implementation of control programs for autonomous agents. A natural extension of this work is to consi...
Jeffrey K. Bassett, Kenneth A. De Jong
83
Voted
MFCS
2004
Springer
15 years 6 months ago
Approximating Boolean Functions by OBDDs
In learning theory and genetic programming, OBDDs are used to represent approximations of Boolean functions. This motivates the investigation of the OBDD complexity of approximatin...
Andre Gronemeier
98
Voted
MST
2008
118views more  MST 2008»
15 years 22 days ago
Risk Assessment for One-Counter Threads
Abstract Threads as contained in a thread algebra are used for the modeling of sequential program behavior. A thread that may use a counter to control its execution is called a `on...
Alban Ponse, Mark van der Zwaag
93
Voted
RISE
2005
Springer
15 years 6 months ago
Software Testing with Evolutionary Strategies
Abstract. This paper applies the Evolutionary Strategy (ES) metaheuristic to the automatic test data generation problem. The problem consists in creating automatically a set of inp...
Enrique Alba, J. Francisco Chicano