A biased random key genetic algorithm for the field technician scheduling problem.
Ricardo B. DammMauricio G. C. ResendeDébora P. RonconiPublished in: Comput. Oper. Res. (2016)
Keyphrases
- scheduling problem
- genetic algorithm
- tabu search
- job shop scheduling problem
- evolutionary algorithm
- np hard
- flowshop
- neural network
- minimizing makespan
- permutation flowshop
- single machine
- multi objective
- data mining
- special case
- simulated annealing
- metaheuristic
- artificial neural networks
- fitness function
- genetic algorithm ga
- lower bound
- high quality
- parallel machines
- information systems
- data sets
- messy genetic algorithm