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GECCO
2004
Springer
108views Optimization» more  GECCO 2004»
15 years 3 months ago
Simple Population Replacement Strategies for a Steady-State Multi-objective Evolutionary Algorithm
This paper explores some simple evolutionary strategies for an elitist, steady-state Pareto-based multi-objective evolutionary algorithm. The experimental framework is based on the...
Christine L. Mumford
GECCO
2011
Springer
224views Optimization» more  GECCO 2011»
14 years 1 months ago
Mirrored sampling in evolution strategies with weighted recombination
This paper introduces mirrored sampling into evolution strategies (ESs) with weighted multi-recombination. Two further heuristics are introduced: pairwise selection selects at mos...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
ICASSP
2011
IEEE
14 years 1 months ago
Look ahead orthogonal matching pursuit
For compressive sensing, we endeavor to improve the recovery performance of the existing orthogonal matching pursuit (OMP) algorithm. To achieve a better estimate of the underlyin...
Saikat Chatterjee, Dennis Sundman, Mikael Skoglund
ICIP
2003
IEEE
15 years 11 months ago
Intermodal collaboration: a strategy for semantic content analysis for broadcasted sports video
This paper presents intermodal collaboration: a strategy for semantic content analysis for broadcasted sports video. The broadcasted video can be viewed as a set of multimodal str...
Noboru Babaguchi, Naoko Nitta
EMO
2009
Springer
159views Optimization» more  EMO 2009»
15 years 4 months ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel