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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 10 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
ICDCS
2010
IEEE
15 years 7 months ago
Efficient Workstealing for Multicore Event-Driven Systems
Many high-performance communicating systems are designed using the event-driven paradigm. As multicore platforms are now pervasive, it becomes crucial for such systems to take adva...
Fabien Gaud, Sylvain Geneves, Renaud Lachaize, Bap...
SIAMCOMP
2008
107views more  SIAMCOMP 2008»
15 years 6 months ago
Holographic Algorithms
Leslie Valiant recently proposed a theory of holographic algorithms. These novel algorithms achieve exponential speed-ups for certain computational problems compared to naive algo...
Leslie G. Valiant
ICPR
2006
IEEE
16 years 7 months ago
Line-Based Affine Invariant Object Location Using Transformation Space Decomposition
This paper presents a novel line-based affine invariant object location methodology. Our algorithm employs a new line-based transformation space decomposition technique to exploit...
Richard Yang, Yongsheng Gao
MOR
2006
95views more  MOR 2006»
15 years 6 months ago
An Efficient Interior-Point Method for Convex Multicriteria Optimization Problems
In multicriteria optimization, several objective functions, conflicting with each other, have to be minimized simultaneously. We propose a new efficient method for approximating t...
Jörg Fliege