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» Short Term Unit-Commitment Using Genetic Algorithms
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GECCO
2009
Springer
166views Optimization» more  GECCO 2009»
14 years 2 months ago
Genetic programming in the wild: evolving unrestricted bytecode
We describe a methodology for evolving Java bytecode, enabling the evolution of extant, unrestricted Java programs, or programs in other languages that compile to Java bytecode. B...
Michael Orlov, Moshe Sipper
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 2 months ago
Genetic programming for cross-task knowledge sharing
We consider multitask learning of visual concepts within genetic programming (GP) framework. The proposed method evolves a population of GP individuals, with each of them composed...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
ESA
1994
Springer
139views Algorithms» more  ESA 1994»
13 years 12 months ago
A Simple Min Cut Algorithm
We present an algorithm for finding the minimum cut of an undirected edge-weighted graph. It is simple in every respect. It has a short and compact description, is easy to implemen...
Mechthild Stoer, Frank Wagner
RECOMB
2006
Springer
14 years 8 months ago
Inferring Gene Orders from Gene Maps Using the Breakpoint Distance
Abstract. Preliminary to most comparative genomics studies is the annotation of chromosomes as ordered sequences of genes. Unfortunately, different genetic mapping techniques usual...
Guillaume Blin, Eric Blais, Pierre Guillon, Mathie...
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
13 years 9 months ago
Parsimony pressure made easy
The parsimony pressure method is perhaps the simplest and most frequently used method to control bloat in genetic programming. In this paper we first reconsider the size evolutio...
Riccardo Poli, Nicholas Freitag McPhee