Examples and guidelines for modeling and solving combinatorial optimization problems with IBM ILOG CP Optimizer

• Some material about CP Optimizer
  • Python API of CP Optimizer
  • CP Optimizer forum
  • Overview of CP Optimizer in CONSTRAINTS Journal
  • Tutorial on CP Optimizer at ICAPS 2017
  • CP Optimizer documentation
• How to ...
  • Typeset models
  • Model ...
    • The Basics: optional interval variables, precedence and logical constraints, basic expressions
    • Some classical patterns
      • Allocation with alternative constraints
      • Chains of optional interval variables
      • Work-Breakdown Structures
    • Classical machine scheduling problems
      • Job-shop
      • Open-shop
      • Flow-shop
      • Flow-shop with earliness/tardiness cost
      • Permutation flow-shop
      • Hybrid flow-shop
      • Flexible job-shop
      • Flexible job-shop with sequence-dependent setup times
    • Classical project scheduling problems
      • Resource-Constrained Project Scheduling Problem (RCPSP)
      • Resource-Constrained Project Scheduling Problem with max delays (RCPSP/MAX)
      • Multi-Mode Resource-Constrained Project Scheduling Problem (MM-RCPSP)
      • Resource-Constrained Project Scheduling Problem with discounted cash flows (RCPSPDC)
    • Satellite scheduling
      • Oversubscribed satellite scheduling
      • Satellite observations scheduling (GEOCAPE)
    • Semiconductor manufacturing
      • Simplified photolitography machine
      • Semiconductor manufacturing
    • Uncertainties and robustness
      • Two-stage stochastic job-shop scheduling problem
      • Two-stage stochastic programming and recoverable robustness
    • Assembly line balancing
      • Simple assembly line balancing (SALBP)
    • Energy-aware scheduling
      • Jobshop with energy pricing
    • Miscellaneous scheduling problems
      • Parallel machine scheduling
      • Mixed Resource Allocation and Scheduling
      • Battery-operated machines