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» Using Genetic Programming to Increase Rule Quality
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GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
14 years 17 days ago
Domain Knowledge and Representation in Genetic Algorithms for Real World Scheduling Problems
This paper discusses the issues that arise in the design and implementation of an industrialstrength evolutionary-based system for the optimization of the monthly work schedules f...
Ioannis T. Christou, Armand Zakarian
ASP
2005
Springer
14 years 2 months ago
Intelligence Analysis Using Quantitative Preferences
The extended answer set semantics for simple logic programs, i.e. programs with only classical negation, allows for the defeat of rules to resolve contradictions. In addition, a pa...
Davy Van Nieuwenborgh, Stijn Heymans, Dirk Vermeir
CEC
2007
IEEE
14 years 29 days ago
A multi-layered solution for supporting isp traffic demand using genetic algorithm
This paper proposes a unique feedback governed multi layered architectural model to support ISP's traffic demands with multiple Quality of Service(QoS) constraints. The propos...
Gajaruban Kandavanam, Dmitri Botvich, Sasitharan B...
CSMR
2008
IEEE
13 years 10 months ago
Understanding the Impact of Distribution in Object-Oriented Distributed Systems Using Structural Program Dependencies
The software industry is increasingly facing the issues of understanding and maintaining a particular type of software systems, namely distributed systems. While these systems are...
Dan C. Cosma, Radu Marinescu
IPPS
2006
IEEE
14 years 3 months ago
Multiple sequence alignment by quantum genetic algorithm
In this paper we describe a new approach for the well known problem in bioinformatics: Multiple Sequence Alignment (MSA). MSA is fundamental task as it represents an essential pla...
L. Abdesslem, M. Soham, B. Mohamed