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169
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GECCO
2004
Springer
16 years 13 days ago
Upper Bounds on the Time and Space Complexity of Optimizing Additively Separable Functions
Abstract. We present upper bounds on the time and space complexity of finding the global optimum of additively separable functions, a class of functions that has been studied exten...
Matthew J. Streeter
169
Voted
DEXA
2003
Springer
115views Database» more  DEXA 2003»
16 years 8 days ago
On Mining Group Patterns of Mobile Users
In this paper, we present a group pattern mining approach to derive the grouping information of mobile device users based on the spatio-temporal distances among them. Group pattern...
Yida Wang, Ee-Peng Lim, San-Yih Hwang
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
15 years 11 months ago
Benchmarking the (1+1)-ES with one-fifth success rule on the BBOB-2009 noisy testbed
The (1+1)-ES with one-fifth success rule is one of the first and simplest stochastic algorithm proposed for optimization on a continuous search space in a black-box scenario. In...
Anne Auger
GECCO
2009
Springer
115views Optimization» more  GECCO 2009»
15 years 11 months ago
Benchmarking the pure random search on the BBOB-2009 testbed
We benchmark the pure random search algorithm on the BBOB 2009 noise-free testbed. Each candidate solution is sampled uniformly in [−5, 5]D , where D denotes the search space di...
Anne Auger, Raymond Ros
GECCO
2009
Springer
147views Optimization» more  GECCO 2009»
15 years 11 months ago
Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed
The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions defined on a continuous search space in a black-box scenario. In this paper, an i...
Anne Auger, Nikolaus Hansen