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113
Voted
CP
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. Stochastic Local Search (SLS) is a simple and effective paradigm for attacking a variety of Combinatorial (Optimization) Problems (COP). However, it is often non-trivial...
96
Voted
TSP
2008
15 years 3 months ago
2008
This paper considers localization of a source or a sensor from distance measurements. We argue that linear algorithms proposed for this purpose are susceptible to poor noise perfor...
176
Voted
ICML
1995
IEEE
16 years 4 months ago
1995
IEEE
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
144
Voted
DGCI
2008
Springer
15 years 5 months ago
2008
Springer
Abstract. Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it i...
146
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GECCO
2004
Springer
15 years 9 months ago
2004
Springer
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...