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GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
15 years 6 months 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
PVM
1999
Springer
15 years 10 months ago
Parallel Monte Carlo Algorithms for Sparse SLAE Using MPI
The problem of solving sparse Systems of Linear Algebraic Equations (SLAE) by parallel Monte Carlo numerical methods is considered. The almost optimal Monte Carlo algorithms are pr...
Vassil N. Alexandrov, Aneta Karaivanova
ICDAR
2003
IEEE
15 years 11 months ago
Binary Classification Trees for Multi-class Classification Problems
This paper proposes a binary classification tree aiming at solving multi-class classification problems using binary classifiers. The tree design is achieved in a way that a class ...
Jin-Seon Lee, Il-Seok Oh
AAAI
1997
15 years 7 months ago
Dynamic Prioritization of Complex Agents in Distributed Constraint Satisfaction Problems
Cooperative distributed problem solving (CDPS) loosely-coupledagentscan be effectively modeledas a distributed constraint satisfaction problem(DCSP) whereeach agent has multiple l...
Aaron A. Armstrong, Edmund H. Durfee
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
15 years 9 months ago
Emergent mating topologies in spatially structured genetic algorithms
The application of network analysis to emergent mating topologies in spatially structured genetic algorithms is presented in this preliminary study as a framework for inferring ev...
Joshua L. Payne, Margaret J. Eppstein