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» A Fuzzy Genetic Algorithm for Real-World Job Shop Scheduling
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162
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AIPS
2008
15 years 6 months ago
A New Hybrid Genetic Algorithm for the Job Shop Scheduling Problem with Setup Times
In this paper we face the Job Shop Scheduling Problem with Sequence Dependent Setup Times by means of a genetic algorithm hybridized with local search. We have built on a previous...
Miguel A. González, Camino R. Vela, Ramiro ...
157
Voted
CLOUDCOM
2010
Springer
15 years 1 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
120
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IJIIP
2010
145views more  IJIIP 2010»
15 years 28 days ago
Solving Job Shop Scheduling Problem Using Genetic Algorithm with Penalty Function
Liang Sun, Xiaochun Cheng, Yanchun Liang
CORR
2008
Springer
112views Education» more  CORR 2008»
15 years 3 months ago
Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments
Artificial immune system can be used to generate schedules in changing environments and it has been proven to be more robust than schedules developed using a genetic algorithm. Go...
Uwe Aickelin, Edmund K. Burke, Aniza Mohamed Din
135
Voted
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
15 years 9 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