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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
16 years 1 months ago
Analyzing heuristic performance with response surface models: prediction, optimization and robustness
This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning...
Enda Ridge, Daniel Kudenko
COCOS
2003
Springer
148views Optimization» more  COCOS 2003»
16 years 21 days ago
Convex Programming Methods for Global Optimization
We investigate some approaches to solving nonconvex global optimization problems by convex nonlinear programming methods. We assume that the problem becomes convex when selected va...
John N. Hooker
WEBDB
2010
Springer
173views Database» more  WEBDB 2010»
16 years 16 days 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
AIPS
2010
15 years 9 months ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
ANTSW
2008
Springer
15 years 9 months ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang