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CEC
2005
IEEE
13 years 10 months ago
Evolving dispatching rules for solving the flexible job-shop problem
We solve the Flexible Job-Shop Problem (FJSP) by using dispatching rules discovered through Genetic Programming (GP). While Simple Priority Rules (SPR) have been widely applied in ...
Nhu Binh Ho, Joc Cing Tay
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
13 years 10 months ago
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
Joc Cing Tay, Djoko Wibowo
GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
13 years 7 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 8 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 9 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