A Biased Random Key Genetic Algorithm with Rollout Evaluations for the Resource Constraint Job Scheduling Problem.
Christian BlumDhananjay R. ThiruvadyAndreas T. ErnstMatthias HornGünther R. RaidlPublished in: Australasian Conference on Artificial Intelligence (2019)
Keyphrases
- scheduling problem
- genetic algorithm
- flowshop
- tabu search
- processing times
- single machine
- job shop scheduling problem
- job shop
- resource constraints
- identical parallel machines
- maximum lateness
- identical machines
- release dates
- parallel machine scheduling problem
- limited capacity
- minimizing makespan
- precedence constraints
- simulated annealing
- np hard
- setup times
- multi objective
- penalty function
- messy genetic algorithm
- completion times
- resource consumption
- search algorithm
- resource management
- hybrid algorithm
- resource allocation
- linear constraints
- metaheuristic
- ant colony optimization
- neural network
- artificial neural networks
- scheduling jobs
- evolutionary algorithm
- permutation flowshop
- genetic programming
- strongly np hard
- batch processing
- differential evolution
- production scheduling
- parallel machines