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ICANNGA
2009
Springer
163views Algorithms» more  ICANNGA 2009»
15 years 10 months ago
Elitistic Evolution: An Efficient Heuristic for Global Optimization
A new evolutionary algorithm, Elitistic Evolution (termed EEv), is proposed in this paper. EEv is an evolutionary method for numerical optimization with adaptive behavior. EEv uses...
Francisco Viveros Jiménez, Efrén Mez...
DEBU
2008
139views more  DEBU 2008»
15 years 6 months ago
Testing SQL Server's Query Optimizer: Challenges, Techniques and Experiences
Query optimization is an inherently complex problem, and validating the correctness and effectiveness of a query optimizer can be a task of comparable complexity. The overall proc...
Leo Giakoumakis, César A. Galindo-Legaria
WSC
2004
15 years 7 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
ICDE
2009
IEEE
198views Database» more  ICDE 2009»
16 years 8 months ago
Double Index NEsted-Loop Reactive Join for Result Rate Optimization
Adaptive join algorithms have recently attracted a lot of attention in emerging applications where data is provided by autonomous data sources through heterogeneous network enviro...
Mihaela A. Bornea, Vasilis Vassalos, Yannis Kotidi...
SWARM
2010
SPRINGER
231views Optimization» more  SWARM 2010»
15 years 11 months ago
Hybrid Particle Swarm and Conjugate Gradient Optimization Algorithm
Abstract. In this work we propose a different particle swarm optimization (PSO) algorithm that employs two key features of the conjugate gradient (CG) method. Namely, adaptive wei...
Abdallah Qteish, Mohammad Hamdan