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VLDB
1991
ACM
134views Database» more  VLDB 1991»
13 years 11 months ago
Extending the Search Strategy in a Query Optimizer
In order to cope efficiently with simple or complex queries as well as different application requirements (e.g., ad-hoc versus repetitive queries), a query optimizer ought to supp...
Rosana S. G. Lanzelotte, Patrick Valduriez
ICML
2005
IEEE
14 years 8 months ago
Bayesian sparse sampling for on-line reward optimization
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
GECCO
2004
Springer
108views Optimization» more  GECCO 2004»
14 years 1 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
ANOR
2011
117views more  ANOR 2011»
12 years 11 months ago
A simple and effective algorithm for the MaxMin diversity problem
The challenge of maximizing the diversity of a collection of points arises in a variety of settings, including the setting of search methods for hard optimization problems. One ver...
Daniel Cosmin Porumbel, Jin-Kao Hao, Fred Glover
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
13 years 8 months ago
Theoretical analysis of diversity mechanisms for global exploration
Maintaining diversity is important for the performance of evolutionary algorithms. Diversity mechanisms can enhance global exploration of the search space and enable crossover to ...
Tobias Friedrich, Pietro Simone Oliveto, Dirk Sudh...