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2008
IEEE
14 years 2 months ago
A comparison of search heuristics for empirical code optimization
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
Keith Seymour, Haihang You, Jack Dongarra
EMO
2003
Springer
81views Optimization» more  EMO 2003»
14 years 1 months ago
Solving Hierarchical Optimization Problems Using MOEAs
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
Christian Haubelt, Sanaz Mostaghim, Jürgen Te...
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
13 years 12 months ago
Rotated test problems for assessing the performance of multi-objective optimization algorithms
This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
Antony W. Iorio, Xiaodong Li
PPSN
1998
Springer
13 years 12 months ago
Comparison of Evolutionary Algorithms for Design Optimization
The production of specimen for microsystems or microcomponents is both, time and material-consuming. In a traditional design process the number of possible variations which can be ...
Wilfried Jakob, Martina Gorges-Schleuter, Ingo Sie...
COR
2010
117views more  COR 2010»
13 years 8 months ago
Performance optimization of open zero-buffer multi-server queueing networks
Abstract -- Open zero-buffer multi-server general queueing networks occur throughout a number of physical systems in the semi-process and process industries. In this paper, we eval...
R. Andriansyah, Tom Van Woensel, Frederico R. B. C...