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GECCO
2006
Springer
122views Optimization» more  GECCO 2006»
15 years 11 months ago
Genetic algorithms are suitable for driving microbial ecosystems in desirable directions
The behavior of natural, biological ecosystems is for a large part determined by environmental conditions. It should therefore be possible to experimentally manipulate such condit...
Frederik P. J. Vandecasteele, Thomas F. Hess, Rona...
NIPS
2008
15 years 9 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake
IJCAI
1989
15 years 8 months ago
Constraint Satisfiability Algorithms for Interactive Student Scheduling
A constraint satisfiability problem consists of a set of variables, their associated domains (i.e., the set of values the variable can take) and a set of constraints on these vari...
Ronen Feldman, Martin Charles Golumbic
TNN
2008
102views more  TNN 2008»
15 years 7 months ago
A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function
In this paper, we introduce a novel way of performing real-valued optimization in the complex domain. This framework enables a direct complex optimization technique when the cost f...
Hualiang Li, Tülay Adali
215
Voted
PPSN
2010
Springer
15 years 5 months ago
A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover
We present a hybrid Genetic Algorithm that incorporates the Generalized Partition Crossover (GPX) operator to produce an algorithm that is competitive with the state of the art for...
Darrell Whitley, Doug Hains, Adele E. Howe