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» UMDAs for dynamic optimization problems
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126
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EAAI
2010
107views more  EAAI 2010»
14 years 10 months ago
Honey bee social foraging algorithms for resource allocation: Theory and application
A model of honey bee social foraging is introduced to create an algorithm that solves a class of optimal resource allocation problems. We prove that if several such algorithms (&q...
Nicanor Quijano, Kevin M. Passino
118
Voted
4OR
2010
137views more  4OR 2010»
15 years 3 months ago
Extended formulations in combinatorial optimization
This survey is concerned with the size of perfect formulations for combinatorial optimization problems. By "perfect formulation", we mean a system of linear inequalities...
Michele Conforti, Gérard Cornuéjols,...
105
Voted
GECCO
2003
Springer
15 years 9 months ago
DNA-Like Genomes for Evolution in silico
We explore the advantages of DNA-like genomes for evolutionary computation in silico. Coupled with simulations of chemical reactions, these genomes offer greater efficiency, reliab...
Michael West, Max H. Garzon, Derrel Blain
132
Voted
ISQED
2007
IEEE
127views Hardware» more  ISQED 2007»
15 years 10 months ago
Thermal vs Energy Optimization for DVFS-Enabled Processors in Embedded Systems
— In the past, dynamic voltage and frequency scaling (DVFS) has been widely used for power and energy optimization in embedded system design. As thermal issues become increasingl...
Yongpan Liu, Huazhong Yang, Robert P. Dick, Hui Wa...
149
Voted
ML
2002
ACM
167views Machine Learning» more  ML 2002»
15 years 3 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...