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GECCO
2004
Springer
158views Optimization» more  GECCO 2004»
15 years 10 months ago
Adaptively Choosing Neighbourhood Bests Using Species in a Particle Swarm Optimizer for Multimodal Function Optimization
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values, for solving multimodal optimization problems. In th...
Xiaodong Li
TR
2008
117views more  TR 2008»
15 years 4 months ago
Redundancy Allocation for Series-Parallel Systems Using Integer Linear Programming
We consider the problem of maximizing the reliability of a series-parallel system given cost and weight constraints on the system. The number of components in each subsystem and th...
Alain Billionnet
ICASSP
2011
IEEE
14 years 8 months ago
Image inpainting-based edge enhancement using the eikonal equation
This paper proposes a novel application of image inpainting techniques for the edge enhancement problems in image deblurring and denoising. The edge enhancement effect is achieved...
Zhaozhong Wang
137
Voted
ATAL
2007
Springer
15 years 11 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 5 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...