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» On the practical genetic algorithms
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AOR
2006
95views more  AOR 2006»
15 years 6 months ago
A New Practically Efficient Interior Point Method for LP
In this paper we briefly review the importance of LP (linear programming), and Dantzig's main contributions to OR (Operations Research), mathematics, and computer science. In...
Katta G. Murty
APN
2005
Springer
16 years 8 days ago
Genetic Process Mining
The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discov...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
16 years 3 days ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano
BMCBI
2008
214views more  BMCBI 2008»
15 years 5 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...
BPM
2005
Springer
126views Business» more  BPM 2005»
16 years 8 days ago
Genetic Process Mining: A Basic Approach and Its Challenges
One of the aims of process mining is to retrieve a process model from a given event log. However, current techniques have problems when mining processes that contain non-trivial co...
Ana Karla A. de Medeiros, A. J. M. M. Weijters, Wi...