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GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 2 months ago
Stochastic local search in continuous domains: questions to be answered when designing a novel algorithm
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...
Petr Posik
108
Voted
ICML
2005
IEEE
16 years 1 months ago
Robust one-class clustering using hybrid global and local search
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Gunjan Gupta, Joydeep Ghosh
92
Voted
AUSAI
2005
Springer
15 years 2 months ago
A Comparison of Evolutionary Methods for the Discovery of Local Search Heuristics
Abstract. Methods of adaptive constraint satisfaction have recently become of interest to overcome the limitations imposed on “black-box” search algorithms by the no free lunch...
Stuart Bain, John Thornton, Abdul Sattar
117
Voted
ICIP
2010
IEEE
14 years 10 months ago
Comparison of local feature descriptors for mobile visual search
We evaluate the performance of MPEG-7 image signatures, Compressed Histogram of Gradients descriptor (CHoG) and Scale Invariant Feature Transform (SIFT) descriptors for mobile vis...
Vijay Chandrasekhar, David M. Chen, Andy Lin, Gabr...
106
Voted
CSCLP
2004
Springer
15 years 6 months ago
A Value Ordering Heuristic for Local Search in Distributed Resource Allocation
Abstract. In this paper we develop a localized value-ordering heuristic for distributed resource allocation problems. We show how this value ordering heuristics can be used to achi...
Adrian Petcu, Boi Faltings