Combining basic heuristics for solving multi-objective scheduling problems.
Christian GrimmeJoachim LeppingPublished in: CISched (2011)
Keyphrases
- multi objective
- scheduling problem
- greedy heuristics
- simulated annealing and tabu search
- tabu search
- list scheduling
- evolutionary algorithm
- multi objective optimization
- optimization algorithm
- search heuristics
- search algorithm
- processing times
- search algorithm for solving
- flowshop
- np hard
- genetic algorithm
- multiobjective optimization
- timetabling problem
- multi objective optimization problems
- multi objective evolutionary
- multiple objectives
- single machine
- heuristic search
- objective function
- bi objective
- job shop scheduling
- variable ordering
- combinatorial optimization
- particle swarm optimization
- graph coloring problems
- setup times
- resource constrained project scheduling problem
- conflicting objectives
- satisfiability problem
- sequencing problems