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ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
15 years 11 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 11 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 10 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 10 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 10 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