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» Solving iterated functions using genetic programming
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137
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EUROGP
1999
Springer
166views Optimization» more  EUROGP 1999»
15 years 8 months ago
Adapting the Fitness Function in GP for Data Mining
In this paper we describe how the Stepwise Adaptation of Weights (saw) technique can be applied in genetic programming. The saw-ing mechanism has been originally developed for and ...
Jeroen Eggermont, A. E. Eiben, Jano I. van Hemert
126
Voted
POPL
2011
ACM
14 years 6 months ago
Precise reasoning for programs using containers
Containers are general-purpose data structures that provide functionality for inserting, reading, removing, and iterating over elements. Since many applications written in modern ...
Isil Dillig, Thomas Dillig, Alex Aiken
138
Voted
SAT
2007
Springer
95views Hardware» more  SAT 2007»
15 years 9 months ago
Solving Multi-objective Pseudo-Boolean Problems
Integer Linear Programs are widely used in areas such as routing problems, scheduling analysis and optimization, logic synthesis, and partitioning problems. As many of these proble...
Martin Lukasiewycz, Michael Glaß, Christian ...
126
Voted
GECCO
2008
Springer
164views Optimization» more  GECCO 2008»
15 years 4 months ago
Genetic algorithms with local search optimization for protein structure prediction problem
This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in both 2D and 3D hydrophobichydrophilic lattice models, introduced in [1]. Our algorithm evol...
Igor Berenboym, Mireille Avigal
133
Voted
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 9 months ago
On the behavioral diversity of random programs
Generating a random sampling of program trees with specified function and terminal sets is the initial step of many program evolution systems. I present a theoretical and experim...
Moshe Looks