Tackling the rich vehicle routing problem with nature-inspired algorithms.
Veronika LeschMaximilian KönigSamuel KounevAnthony SteinChristian KrupitzerPublished in: Appl. Intell. (2022)
Keyphrases
- vehicle routing problem
- nature inspired algorithms
- metaheuristic
- ant colony optimization
- tabu search
- evolutionary computation
- optimization problems
- routing problem
- combinatorial optimization
- simulated annealing
- traveling salesman problem
- vehicle routing
- scatter search
- search space
- combinatorial optimization problems
- test instances
- hybrid metaheuristic
- particle swarm optimization
- optimal solution
- vehicle routing problem with time windows
- genetic algorithm
- computational intelligence
- search methods
- memetic algorithm
- optimization method
- evolutionary algorithm
- solution space
- benchmark problems
- ant colony
- path relinking
- nature inspired
- feasible solution
- pick up and delivery
- ant colony optimisation
- ant colonies
- neural network
- search strategies
- test problems
- pso algorithm
- job shop scheduling problem
- swarm intelligence
- biogeography based optimization
- hybrid algorithm
- objective function
- vehicle routing problem with simultaneous