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GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
15 years 12 months ago
Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and Insertion/Deletion Operators
In a series of papers [3-8], Daida et. al. highlighted the difficulties posed to Genetic Programming (GP) by the complexity of the structural search space, and attributed the probl...
Nguyen Xuan Hoai, Robert I. McKay
ICCBR
2003
Springer
15 years 11 months ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
CP
1999
Springer
15 years 11 months ago
Search Procedures and Parallelism in Constraint Programming
Abstract. In this paper, we present a major improvement in the search procedures in constraint programming. First, we integrate various search procedures from AI and OR. Second, we...
Laurent Perron
IWPC
1996
IEEE
15 years 10 months ago
Evaluating process clusters to support automatic program understanding
Evaluating the design of a distributed application is di cult but provides useful information for program development and maintenance. In distributed debugging, for example, proce...
Thomas Kunz
ICML
1994
IEEE
15 years 10 months ago
Hierarchical Self-Organization in Genetic programming
This paper presents an approach to automatic discovery of functions in Genetic Programming. The approach is based on discovery of useful building blocks by analyzing the evolution...
Justinian P. Rosca, Dana H. Ballard