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187
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ICDE
2009
IEEE
101views Database» more  ICDE 2009»
16 years 2 months ago
Power Hints for Query Optimization
Commercial database systems expose query hints to address situations in which the optimizer chooses a poor plan for a given query. However, current query hints are not flexible eno...
Nicolas Bruno, Surajit Chaudhuri, Ravishankar Rama...
151
Voted
SIGMOD
2009
ACM
135views Database» more  SIGMOD 2009»
16 years 1 months ago
Interactive plan hints for query optimization
Commercial database systems expose query hints to fix poor plans produced by the query optimizer. However, current query hints are not flexible enough to deal with a variety of no...
Nicolas Bruno, Surajit Chaudhuri, Ravishankar Rama...
113
Voted
ECBS
2002
IEEE
81views Hardware» more  ECBS 2002»
15 years 5 months ago
Optimization of a Retargetable Functional Simulator for Embedded Processors
The objective of this research is to develop tools and methods for system-level optimization of embedded software that is executed on system-on-chip platforms. In particular, this...
Francesco Papariello, Gabriele Luculli
94
Voted
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 4 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 1 months ago
Towards incremental social learning in optimization and multiagent systems
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
Marco Antonio Montes de Oca, Thomas Stützle