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GECCO
2010
Springer
211views Optimization» more  GECCO 2010»
13 years 10 months ago
Investigating EA solutions for approximate KKT conditions in smooth problems
Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joyd...
TWC
2008
150views more  TWC 2008»
13 years 8 months ago
Convex approximation techniques for joint multiuser downlink beamforming and admission control
Multiuser downlink beamforming under quality of service (QoS) constraints has attracted considerable interest in recent years, because it is particularly appealing from a network o...
Evaggelia Matskani, Nicholas D. Sidiropoulos, Zhi-...
IOR
2007
58views more  IOR 2007»
13 years 8 months ago
Bounds, Heuristics, and Approximations for Distribution Systems
This paper develops simple approximate methods to analyze a two-stage stochastic distribution system consisting of one warehouse and multiple retailers. We consider local and cent...
Guillermo Gallego, Özalp Özer, Paul H. Z...
CEC
2008
IEEE
14 years 3 months ago
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
JMLR
2006
124views more  JMLR 2006»
13 years 8 months ago
Policy Gradient in Continuous Time
Policy search is a method for approximately solving an optimal control problem by performing a parametric optimization search in a given class of parameterized policies. In order ...
Rémi Munos