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» A Grid-Oriented Genetic Algorithm
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SIGMOD
2005
ACM
165views Database» more  SIGMOD 2005»
16 years 6 months ago
Scheduling of scientific workflows in the ASKALON grid environment
Scheduling is a key concern for the execution of performancedriven Grid applications. In this paper we comparatively examine different existing approaches for scheduling of scient...
Marek Wieczorek, Radu Prodan, Thomas Fahringer
CEC
2008
IEEE
16 years 27 days ago
Examination of multi-objective optimization method for global search using DIRECT and GA
— A number of multi-objective genetic algorithms (MOGAs) have been developed to obtain Pareto optimal solutions for multi-objective optimization problems. However, as these metho...
Luyi Wang, Hiroyuki Ishida, Tomoyuki Hiroyasu, Mit...
ASIAMS
2007
IEEE
16 years 23 days ago
Solving Shortest Capacitated Path Problem Using a Bi-Objective Heuristic Approach
The shortest capacitated path problem is a well known problem in the networking area, having a wide range of applications. In the shortest capacitated path problem, a traffic flow...
Crina Grosan, Ajith Abraham
DATE
2007
IEEE
98views Hardware» more  DATE 2007»
16 years 23 days ago
Simulation-based reusable posynomial models for MOS transistor parameters
We present an algorithm to automatically design posynomial models for parameters of the MOS transistors using simulation data. These models improve the accuracy of the Geometric P...
Varun Aggarwal, Una-May O'Reilly
SIES
2007
IEEE
16 years 21 days ago
Design Space Exploration with Evolutionary Multi-Objective Optimisation
— High level synthesis is one of the next major steps to improve the hw/sw co-design process. The advantages of high nthesis are two-fold. At first the level of abstraction is r...
Martin Holzer 0002, Bastian Knerr, Markus Rupp