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» Approximation Algorithms for Flexible Job Shop Problems
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UAI
1998
15 years 4 months ago
Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these app...
Ronald Parr
MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 7 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
DFG
2009
Springer
15 years 9 months ago
A Survey on Approximation Algorithms for Scheduling with Machine Unavailability
In this chapter we present recent contributions in the field of sequential job scheduling on network machines which work in parallel; these are subject to temporary unavailability...
Florian Diedrich, Klaus Jansen, Ulrich M. Schwarz,...
ICTCS
2003
Springer
15 years 8 months ago
Cost Constrained Fixed Job Scheduling
In this paper, we study the problem of cost constrained fixed job scheduling (CCFJS). In this problem, there are a number of processors, each of which belongs to one of several cla...
Qiwei Huang, Errol L. Lloyd
SIAMDM
2002
124views more  SIAMDM 2002»
15 years 2 months ago
Scheduling Unrelated Machines by Randomized Rounding
We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...
Andreas S. Schulz, Martin Skutella