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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 3 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 3 months ago
On the complexity of hierarchical problem solving
Competent Genetic Algorithms can efficiently address problems in which the linkage between variables is limited to a small order k. Problems with higher order dependencies can onl...
Edwin D. de Jong, Richard A. Watson, Dirk Thierens
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
A comparison of evolutionary algorithms for system-level diagnosis
The size and complexity of systems based on multiple processing units demand techniques for the automatic diagnosis of their state. System-level diagnosis consists in determining ...
Bogdan Tomoyuki Nassu, Elias Procópio Duart...
ICCS
2005
Springer
15 years 3 months ago
Super-Scalable Algorithms for Computing on 100, 000 Processors
In the next five years, the number of processors in high-end systems for scientific computing is expected to rise to tens and even hundreds of thousands. For example, the IBM Blu...
Christian Engelmann, Al Geist
ICN
2005
Springer
15 years 3 months ago
Primary/Secondary Path Generation Problem: Reformulation, Solutions and Comparisons
Abstract. This paper considers the primary and secondary path generation problem in traffic engineering. We first present a standard MILP model. Since its size and integrality gap...
Quanshi Xia, Helmut Simonis