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» A framework for distributed simulation optimization
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CEC
2009
IEEE
16 years 1 months ago
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization
—Multi-objective optimization is an essential and challenging topic in the domains of engineering and computation because real-world problems usually include several conflicting...
Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang
WEBDB
2010
Springer
173views Database» more  WEBDB 2010»
15 years 11 months ago
Manimal: Relational Optimization for Data-Intensive Programs
The MapReduce distributed programming framework is very popular, but currently lacks the optimization techniques that have been standard with relational database systems for many ...
Michael J. Cafarella, Christopher Ré
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
16 years 5 days ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
15 years 11 months ago
Optimization of dynamic memory managers for embedded systems using grammatical evolution
New portable consumer embedded devices must execute multimedia applications (e.g., 3D games, video players and signal processing software, etc.) that demand extensive memory acces...
José L. Risco-Martín, David Atienza,...
ATAL
2010
Springer
15 years 7 months ago
Optimal social laws
Social laws have proved to be a powerful and theoretically elegant framework for coordination in multi-agent systems. Most existing models of social laws assume that a designer is...
Thomas Ågotnes, Michael Wooldridge