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» A Mean-Variance Optimization algorithm
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141
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GEOINFORMATICA
2002
92views more  GEOINFORMATICA 2002»
15 years 6 months ago
Using Genetic Algorithms for Solving Hard Problems in GIS
Genetic algorithms (GAs) are powerful combinatorial optimizers that are able to
Steven van Dijk, Dirk Thierens, Mark de Berg
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
15 years 11 months ago
Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization
This paper benchmarks the Particle Swarm Optimization (PSO) algorithm using the noise-free BBOB 2009 testbed. Categories and Subject Descriptors
Mohammed El-Abd, Mohamed S. Kamel
133
Voted
ICCAD
2007
IEEE
160views Hardware» more  ICCAD 2007»
16 years 3 months ago
Approximation algorithm for the temperature-aware scheduling problem
— The paper addresses the problem of performance optimization for a set of periodic tasks with discrete voltage/frequency states under thermal constraints. We prove that the prob...
Sushu Zhang, Karam S. Chatha
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 7 months ago
Optinformatics for schema analysis of binary genetic algorithms
Given the importance of optimization and informatics which are the two broad fields of research, we present an instance of Optinformatics which denotes the specialization of info...
Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen 0001
ICML
2004
IEEE
16 years 7 months ago
Multiple kernel learning, conic duality, and the SMO algorithm
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...
Francis R. Bach, Gert R. G. Lanckriet, Michael I. ...