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CISIM
2008
IEEE
16 years 29 days ago
Tuning Struggle Strategy in Genetic Algorithms for Scheduling in Computational Grids
Job Scheduling on Computational Grids is gaining importance due to the need for efficient large-scale Grid-enabled applications. Among different optimization techniques addressed ...
Fatos Xhafa, Bernat Duran, Ajith Abraham, Keshav P...
IAT
2008
IEEE
16 years 28 days ago
Formalizing Multi-state Learning Dynamics
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
CEC
2007
IEEE
16 years 25 days ago
Evolving tiles for automated self-assembly design
Abstract— Self-assembly is a distributed, asynchronous mechanism that is pervasive across natural systems where hierarchical complex structures are built from the bottom-up. The ...
Germán Terrazas, Marian Gheorghe, Graham Ke...
HICSS
2007
IEEE
111views Biometrics» more  HICSS 2007»
16 years 24 days ago
Joint Reference Modeling: Collaboration Support through Version Management
The derivation of specific models from reference models corresponds with the creation of reference model variants. Research on the design of such variant constructions generally a...
Oliver Thomas
ICTAI
2007
IEEE
16 years 23 days ago
A Java-Based Distributed Genetic Algorithm Framework
Distributed Genetic Algorithm (DGA) is one of the most promising choices among the optimization methods. In this paper we describe DGAFrame, a flexible framework for evolutionary...
Gabi Escuela, Yudith Cardinale, Jorge Gonzá...