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» Evolutionary Computation for Modeling and Optimization
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GECCO
2010
Springer
233views Optimization» more  GECCO 2010»
15 years 11 months ago
Evolutionary-based conflict-free scheduling of collective communications on spidergon NoCs
The Spidergon interconnection network has become popular recently in multiprocessor systems on chips. To the best of our knowledge, algorithms for collective communications (CC) h...
Jirí Jaros, Vaclav Dvorak
MSR
2009
ACM
15 years 11 months ago
MapReduce as a general framework to support research in Mining Software Repositories (MSR)
Researchers continue to demonstrate the benefits of Mining Software Repositories (MSR) for supporting software development and research activities. However, as the mining process...
Weiyi Shang, Zhen Ming Jiang, Bram Adams, Ahmed E....
GECCO
2009
Springer
15 years 10 months ago
Evolving heuristically difficult instances of combinatorial problems
When evaluating a heuristic for a combinatorial problem, randomly generated instances of the problem may not provide a thorough exploration of the heuristic's performance, an...
Bryant A. Julstrom
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 7 months ago
Parameterizing pair approximations for takeover dynamics
Pair approximations have often been used to predict equilibrium conditions in spatially-explicit epidemiological and ecological systems. In this work, we investigate whether this ...
Joshua L. Payne, Margaret J. Eppstein
CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 6 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...