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GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
16 years 8 days ago
Backward-chaining genetic programming
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
Riccardo Poli, William B. Langdon
174
Voted
PATAT
2004
Springer
148views Education» more  PATAT 2004»
16 years 3 days ago
Interactively Solving School Timetabling Problems Using Extensions of Constraint Programming
Timetabling problems have been frequently studied due to their wide range of applications. However, they are often solved manually because of the lack of appropriate computer tools...
Hadrien Cambazard, Fabien Demazeau, Narendra Jussi...
ICPPW
2003
IEEE
16 years 21 hour ago
Load Balancing on PC Clusters with the Super-Programming Model
Recent work in high-performance computing has shifted attention to PC clusters.. For PC-clusters, member nodes are independent computers connected by generalpurpose networks. The ...
Dejiang Jin, Sotirios G. Ziavras
NIPS
2007
15 years 8 months ago
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
Ambuj Tewari, Peter L. Bartlett
161
Voted
CSC
2006
15 years 8 months ago
An Algorithm to Solve a Linear Program
: This work is about an algorithm for solving a linear program which is simple to apply. There are three algorithms in this work. The first algorithm solves a two-variable linear p...
Rajan Alex