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» Function Optimization with Coevolutionary Algorithms
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LION
2007
Springer
198views Optimization» more  LION 2007»
16 years 22 days ago
Multiobjective Landscape Analysis and the Generalized Assignment Problem
The importance of tuning a search algorithm for the specific features of the target search space has been known for quite some time. However, when dealing with multiobjective prob...
Deon Garrett, Dipankar Dasgupta
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 11 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
INFOCOM
2009
IEEE
16 years 1 months ago
On Combining Shortest-Path and Back-Pressure Routing Over Multihop Wireless Networks
Abstract—Back-pressure based algorithms based on the algorithm by Tassiulas and Ephremides have recently received much attention for jointly routing and scheduling over multihop ...
Lei Ying, Sanjay Shakkottai, Aneesh Reddy
JMLR
2012
13 years 9 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
16 years 1 months ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...