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» An Evolutionary Algorithm for Integer Programming
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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 9 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
IOR
2008
109views more  IOR 2008»
15 years 4 months ago
Polynomial-Time Algorithms for Stochastic Uncapacitated Lot-Sizing Problems
In 1958, Wagner and Whitin published a seminal paper on the deterministic uncapacitated lot-sizing problem, a fundamental model that is embedded in many practical production plann...
Yongpei Guan, Andrew J. Miller
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 10 months ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga
ACSAC
2007
IEEE
15 years 11 months ago
Automated Vulnerability Analysis: Leveraging Control Flow for Evolutionary Input Crafting
We present an extension of traditional "black box" fuzz testing using a genetic algorithm based upon a Dynamic Markov Model fitness heuristic. This heuristic allows us t...
Sherri Sparks, Shawn Embleton, Ryan Cunningham, Cl...
PPSN
2004
Springer
15 years 9 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong