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» Optimization with Extremal Dynamics
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WSC
2007
15 years 9 months ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper
EC
2008
103views ECommerce» more  EC 2008»
15 years 6 months ago
A Graphical Model for Evolutionary Optimization
We present a statistical model of empirical optimization that admits the creation of algorithms with explicit and intuitively defined desiderata. Because No Free Lunch theorems di...
Christopher K. Monson, Kevin D. Seppi
HEURISTICS
2006
197views more  HEURISTICS 2006»
15 years 6 months ago
Bucket elimination for multiobjective optimization problems
Multiobjective optimization deals with problems involving multiple measures of performance that should be optimized simultaneously. In this paper we extend bucket elimination (BE),...
Emma Rollon, Javier Larrosa
JSAC
2006
88views more  JSAC 2006»
15 years 6 months ago
OSNR optimization in optical networks: modeling and distributed algorithms via a central cost approach
Abstract-- This paper addresses the problem of optical signalto-noise ratio (OSNR) optimization in optical networks. An analytical OSNR network model is developed for a general mul...
L. Pavel
168
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GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
16 years 1 months ago
Apply ant colony optimization to Tetris
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi,...