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» Optimization of Genetic Operators for Scheduling Problems
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GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
15 years 1 days ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
14 years 9 months ago
Improved analysis methods for crossover-based algorithms
We deepen the theoretical analysis of the genetic algorithm for the all-pairs shortest path problem proposed by Doerr, Happ and Klein (GECCO 2008). We show that the growth of the ...
Benjamin Doerr, Madeleine Theile
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
15 years 3 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
WSC
2008
15 years 2 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
APLAS
2003
ACM
15 years 5 months ago
Controlling and Optimizing the Usage of One Resource
This paper studies the problem of resource availability in the context of mobile code for embedded systems such as smart cards. It presents an architecture dedicated to controlling...
Antoine Galland, Mathieu Baudet