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» Approximation Algorithms for Flexible Job Shop Problems
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UAI
1998
13 years 9 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»
13 years 11 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
14 years 2 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
14 years 23 days 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»
13 years 7 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