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CEC
2009
IEEE
14 years 2 months ago
Differential Evolution with Laplace mutation operator
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
Millie Pant, Radha Thangaraj, Ajith Abraham, Crina...
ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
14 years 2 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...
GECCO
2003
Springer
109views Optimization» more  GECCO 2003»
14 years 28 days ago
Real Royal Road Functions for Constant Population Size
Evolutionary and genetic algorithms (EAs and GAs) are quite successful randomized function optimizers. This success is mainly based on the interaction of different operators like ...
Tobias Storch, Ingo Wegener
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
14 years 1 months ago
Finding needles in haystacks is harder with neutrality
This research presents an analysis of the reported successes of the Cartesian Genetic Programming method on a simplified form of the Boolean parity problem. We show the method of...
M. Collins
TKDE
2012
199views Formal Methods» more  TKDE 2012»
11 years 10 months ago
Subscriber Assignment for Wide-Area Content-Based Publish/Subscribe
— We study the problem of assigning subscribers to brokers in a wide-area content-based publish/subscribe system. A good assignment should consider both subscriber interests in t...
Albert Yu, Pankaj K. Agarwal, Jun Yang