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ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
15 years 9 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
RTSS
1998
IEEE
15 years 9 months ago
Statistical Rate Monotonic Scheduling
Statistical Rate Monotonic Scheduling (SRMS) is a generalization of the classical RMS results of Liu and Layland [10] for periodic tasks with highly variable execution times and s...
Alia Atlas, Azer Bestavros
DAC
2010
ACM
15 years 9 months ago
Performance yield-driven task allocation and scheduling for MPSoCs under process variation
With the ever-increasing transistor variability in CMOS technology, it is essential to integrate variation-aware performance analysis into the task allocation and scheduling proce...
Lin Huang, Qiang Xu
EMSOFT
2006
Springer
15 years 8 months ago
Scheduling for multi-threaded real-time programs via path planning
The paper deals with the problem of computing schedules for multi-threaded real-time programs. In [14] we introduced a scheduling method based on the geometrization of PV programs...
Thao Dang, Philippe Gerner
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 8 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde