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» Intelligent Backtracking Techniques for Job Shop Scheduling
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AAAI
1994
13 years 8 months ago
Case-Based Acquisition of User Preferences for Solution Improvement in Ill-Structured Domains
1 We have developed an approach to acquire complicated user optimization criteria and use them to guide iterative solution improvement. The eectiveness of the approach was tested ...
Katia P. Sycara, Kazuo Miyashita
CAV
2001
Springer
107views Hardware» more  CAV 2001»
13 years 11 months ago
Job-Shop Scheduling Using Timed Automata
In this paper we show how the classical job-shop scheduling problem can be modeled as a special class of acyclic timed automata. Finding an optimal schedule corresponds, then, to n...
Yasmina Abdeddaïm, Oded Maler
ESA
2001
Springer
145views Algorithms» more  ESA 2001»
13 years 11 months ago
Grouping Techniques for Scheduling Problems: Simpler and Faster
In this paper we describe a general grouping technique to devise faster and simpler approximation schemes for several scheduling problems. We illustrate the technique on two diff...
Aleksei V. Fishkin, Klaus Jansen, Monaldo Mastroli...
JAIR
2007
111views more  JAIR 2007»
13 years 6 months ago
Proactive Algorithms for Job Shop Scheduling with Probabilistic Durations
Most classical scheduling formulations assume a fixed and known duration for each activity. In this paper, we weaken this assumption, requiring instead that each duration can be ...
J. Christopher Beck, Nic Wilson
EVOW
2008
Springer
13 years 8 months ago
A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems
Abstract. This paper describes a memory enhanced evolutionary algorithm (EA) approach to the dynamic job shop scheduling problem. Memory enhanced EAs have been widely investigated ...
Gregory J. Barlow, Stephen F. Smith