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» On the practical genetic algorithms
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WEA
2005
Springer
138views Algorithms» more  WEA 2005»
16 years 4 days ago
A Practical Minimal Perfect Hashing Method
We propose a novel algorithm based on random graphs to construct minimal perfect hash functions h. For a set of n keys, our algorithm outputs h in expected time O(n). The evaluatio...
Fabiano C. Botelho, Yoshiharu Kohayakawa, Nivio Zi...
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
16 years 1 days ago
Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function
Abstract. We demonstrate a fully automated method for obtaining a closedform approximation of a recursive function. This method resulted from a realworld problem in which we had a ...
Evan Kirshenbaum, Henri Jacques Suermondt
EUROGP
2003
Springer
15 years 12 months ago
The Root Causes of Code Growth in Genetic Programming
This paper discusses the underlying pressures responsible for code growth in genetic programming, and shows how an understanding of these pressures can be used to use to eliminate...
Matthew J. Streeter
ANTS
2006
Springer
91views Algorithms» more  ANTS 2006»
15 years 10 months ago
Practical Lattice Basis Sampling Reduction
We propose a practical sampling reduction algorithm for lattice bases based on work by Schnorr [1] as well as two even more effective generalizations. We report the empirical behav...
Johannes Buchmann, Christoph Ludwig
BIOADIT
2004
Springer
16 years 1 days ago
Searching for a Practical Evidence of the No Free Lunch Theorems
Abstract. According to the No Free Lunch (NFL) theorems all blackbox algorithms perform equally well when compared over the entire set of optimization problems. An important proble...
Mihai Oltean