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ORCIDMetaheuristics for Scheduling in Industrial and Manufacturing Applications 2008
- Fatos Xhafa, Ajith Abraham:
Metaheuristics for Scheduling in Industrial and Manufacturing Applications. Studies in Computational Intelligence 128, Springer 2008, ISBN 978-3-540-78984-0 - G. I. Zobolas, Christos D. Tarantilis, George Ioannou:
Exact, Heuristic and Meta-heuristic Algorithms for Solving Shop Scheduling Problems. 1-40 - Manuel Iori
, Silvano Martello:
Scatter Search Algorithms for Identical Parallel Machine Scheduling Problems. 41-59 - Jens Czogalla, Andreas Fink:
On the Effectiveness of Particle Swarm Optimization and Variable Neighborhood Descent for the Continuous Flow-Shop Scheduling Problem. 61-89 - Zne-Jung Lee, Shih-Wei Lin, Kuo-Ching Ying:
A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date. 91-103 - Seamus M. McGovern, Surendra M. Gupta:
Deterministic Search Algorithm for Sequencing and Scheduling. 105-124 - Mehmet Emin Aydin, Mehmet Sevkli:
Sequential and Parallel Variable Neighborhood Search Algorithms for Job Shop Scheduling. 125-144 - Pawel B. Myszkowski:
Solving Scheduling Problems by Evolutionary Algorithms for Graph Coloring Problem. 145-167 - Deisemara Ferreira, Paulo Morelato França, Alf Kimms, Reinaldo Morabito, Socorro Rangel, Claudio Fabiano Motta Toledo:
Heuristics and meta-heuristics for lot sizing and scheduling in the soft drinks industry: a comparison study. 169-210 - Ricardo Galán:
Hybrid Heuristic Approaches for Scheduling in Reconfigurable Manufacturing Systems. 211-253 - María Pilar Tormos, Antonio Luis Lova, Federico Barber, Laura Paola Ingolotti, Montserrat Abril, Miguel A. Salido:
A Genetic Algorithm for Railway Scheduling Problems. 255-276 - Álvaro García-Sánchez, Luis Miguel Arreche Bedia, Miguel Ortega-Mier:
Combining Simulation and Tabu Search for Oil-derivatives Pipeline Scheduling. 301-325 - Ajith Abraham, Hongbo Liu, Mingyan Zhao:
Particle Swarm Scheduling for Work-Flow Applications in Distributed Computing Environments. 327-342
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