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JAIR
2007
111views more  JAIR 2007»
13 years 7 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
CAV
2001
Springer
107views Hardware» more  CAV 2001»
13 years 12 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
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
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 11 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
ICTAI
1994
IEEE
13 years 11 months ago
A Distributed Scheduling Framework
A distributed problem solving approach to job shop scheduling is described in this paper. The approach views the system as an Organisation. Agents are assigned di erent roles and ...
Carla P. Gomes, Austin Tate, Lyn Thomas