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» Convergence and rate of convergence of a simple ant model
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WSC
2008
15 years 2 days ago
A rate result for simulation optimization with conditional value-at-risk constraints
We study a stochastic optimization problem that has its roots in financial portfolio design. The problem has a specified deterministic objective function and constraints on the co...
Soumyadip Ghosh
DAGSTUHL
2006
14 years 11 months ago
How fast does the stationary distribution of the Markov chain modelling EAs concentrate on the homogeneous populations for small
One of the main difficulties faced when analyzing Markov chains modelling evolutionary algorithms is that their cardinality grows quite fast. A reasonable way to deal with this iss...
Boris Mitavskiy, Jonathan E. Rowe
COLT
2000
Springer
15 years 2 months ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter
CSE
2008
IEEE
15 years 4 months ago
3D Computer Simulations of Pulsatile Human Blood Flows in Vessels and in the Aortic Arch: Investigation of Non-Newtonian Charact
Methods of Computational Fluid Dynamics are applied to simulate pulsatile blood flow in human vessels and in the aortic arch. The non-Newtonian behaviour of the human blood is in...
Renat A. Sultanov, Dennis Guster, Brent Engelbrekt...
GECCO
2000
Springer
104views Optimization» more  GECCO 2000»
15 years 1 months ago
Quadratic Bloat in Genetic Programming
In earlier work we predicted program size would grow in the limit at a quadratic rate and up to fty generations we measured bloat O(generations1:2;1:5). On two simple benchmarks w...
William B. Langdon