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ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
ICMLA
2004
13 years 10 months ago
2004
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
HICSS
2005
IEEE
14 years 2 months ago
2005
IEEE
In this paper we formulate a combinatorial auction brokering problem as a set packing problem and apply a simulated annealing heuristic with hybrid local moves to solve the proble...
GECCO
2009
Springer
14 years 3 months ago
2009
Springer
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...