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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
16 years 1 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
16 years 1 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
HYBRID
2005
Springer
16 years 12 days ago
Optimal Control of Discrete Hybrid Stochastic Automata
This paper focuses on hybrid systems whose discrete state transitions depend on both deterministic and stochastic events. For such systems, after introducing a suitable hybrid mod...
Alberto Bemporad, Stefano Di Cairano
ECCV
2010
Springer
15 years 11 months ago
Cosegmentation revisited: Models and optimization
The problem of cosegmentation consists of segmenting the same object (or objects of the same class) in two or more distinct images. Recently a number of different models have been...
ICCD
1994
IEEE
69views Hardware» more  ICCD 1994»
15 years 11 months ago
Optimal Design of Self-Damped Lossy Transmission Lines for Multichip Modules
This paper presents a simple and robust method of designing the lossy-transmission-line interconnects in a network for multichip modules. This method uses wire-sizing entirely to ...
Jimmy Shinn-Hwa Wang, Wayne Wei-Ming Dai