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ISCIS
2003
Springer
15 years 2 months ago
A New Continuous Action-Set Learning Automaton for Function Optimization
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
Hamid Beigy, Mohammad Reza Meybodi
PVLDB
2008
126views more  PVLDB 2008»
14 years 9 months ago
Parallelizing query optimization
Many commercial RDBMSs employ cost-based query optimization exploiting dynamic programming (DP) to efficiently generate the optimal query execution plan. However, optimization tim...
Wook-Shin Han, Wooseong Kwak, Jinsoo Lee, Guy M. L...
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
15 years 3 months ago
A study of mutational robustness as the product of evolutionary computation
This paper investigates the ability of a tournament selection based genetic algorithm to find mutationally robust solutions to a simple combinatorial optimization problem. Two di...
Justin Schonfeld
JSAC
2008
140views more  JSAC 2008»
14 years 9 months ago
Optimality and Complexity of Pure Nash Equilibria in the Coverage Game
In this paper, we investigate the coverage problem in wireless sensor networks using a game theory method. We assume that nodes are randomly scattered in a sensor field and the goa...
Xin Ai, Vikram Srinivasan, Chen-Khong Tham
BMCBI
2010
139views more  BMCBI 2010»
14 years 9 months ago
A global optimization algorithm for protein surface alignment
Background: A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined w...
Paola Bertolazzi, Concettina Guerra, Giampaolo Liu...