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ICGA
1993
140views Optimization» more  ICGA 1993»
13 years 9 months ago
Expected Allele Coverage and the Role of Mutation in Genetic Algorithms
It is part of the traditional lore of genetic algorithms that low mutation rates lead to efficient search of the solution space, while high mutation rates result in diffusion of s...
David M. Tate, Alice E. Smith
IEEEPACT
2002
IEEE
14 years 1 months ago
Exploiting Pseudo-Schedules to Guide Data Dependence Graph Partitioning
This paper presents a new modulo scheduling algorithm for clustered microarchitectures. The main feature of the proposed scheme is that the assignment of instructions to clusters ...
Alex Aletà, Josep M. Codina, F. Jesú...
CORR
2008
Springer
154views Education» more  CORR 2008»
13 years 8 months ago
A Counterexample Guided Abstraction-Refinement Framework for Markov Decision Processes
rexample Guided Abstraction-Refinement Framework for Markov Decision Processes ROHIT CHADHA and MAHESH VISWANATHAN Dept. of Computer Science, University of Illinois at Urbana-Champ...
Rohit Chadha, Mahesh Viswanathan
ISQED
2005
IEEE
106views Hardware» more  ISQED 2005»
14 years 1 months ago
Thermal-Aware Floorplanning Using Genetic Algorithms
In this work, we present a genetic algorithm based thermal-aware floorplanning framework that aims at reducing hot spots and distributing temperature evenly across a chip while op...
Wei-Lun Hung, Yuan Xie, Narayanan Vijaykrishnan, C...
ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
13 years 11 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge