Metaheuristics for Scheduling in Industrial and Manufacturing Applications 2008

• 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