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HPCC
2007
Springer
14 years 2 months ago
A Complex Network-Based Approach for Job Scheduling in Grid Environments
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...
ICML
2003
IEEE
14 years 1 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
ICC
2011
IEEE
272views Communications» more  ICC 2011»
12 years 7 months ago
Dynamic Anycast Routing and Wavelength Assignment in WDM Networks Using Ant Colony Optimization (ACO)
—Ant colony optimization (ACO) is a probabilistic technique used for solving complex computational problems, such as finding optimal routes in networks. It has been proved to pe...
Kavitha Bhaskaran, Joan Triay, Vinod Vokkarane
IPPS
2003
IEEE
14 years 1 months ago
A Genetic Approach to Planning in Heterogeneous Computing Environments
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search met...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...
DSD
2003
IEEE
100views Hardware» more  DSD 2003»
14 years 1 months ago
Fast Heuristics for the Edge Coloring of Large Graphs
Heuristic algorithms for coloring the edges of large undirected single-edge graphs with (or very close to) the minimal number of colors are presented. Compared to simulated anneal...
Mario Hilgemeier, Nicole Drechsler, Rolf Drechsler