A Multi-objective Biased Random-Key Genetic Algorithm for Service Technician Routing and Scheduling Problem.
Ricardo B. DammDébora P. RonconiPublished in: ICCL (2021)
Keyphrases
- multi objective
- genetic algorithm
- scheduling problem
- multi objective optimization
- evolutionary algorithm
- optimization algorithm
- tabu search
- multiobjective optimization
- particle swarm optimization
- multiple objectives
- fitness function
- service requirements
- job shop scheduling problem
- objective function
- flowshop
- messy genetic algorithm
- conflicting objectives
- single machine
- setup times
- multi objective optimization problems
- multi objective evolutionary
- pareto optimal
- nsga ii
- routing problem
- neural network
- np hard
- service providers
- genetic programming
- simulated annealing
- minimizing makespan
- processing times
- metaheuristic
- traffic engineering
- permutation flowshop
- ant algorithm
- search space
- strength pareto evolutionary algorithm
- vehicular networks
- special case