Applying NSGA-II to vehicle routing problem with drones considering makespan and carbon emission.
R. J. KuoEvan EdbertFerani E. ZulviaShih-Hao LuPublished in: Expert Syst. Appl. (2023)
Keyphrases
- vehicle routing problem
- nsga ii
- test problems
- multi objective
- tabu search
- optimal solution
- benchmark problems
- metaheuristic
- knapsack problem
- hybrid metaheuristic
- scatter search
- optimization problems
- scheduling problem
- multi objective optimization
- np hard
- evolutionary algorithm
- pareto optimal
- routing problem
- particle swarm optimization
- multiobjective evolutionary algorithm
- optimization algorithm
- multiobjective optimization
- multi objective differential evolution
- traveling salesman problem
- evolutionary multiobjective
- vehicle routing problem with time windows
- evolutionary multiobjective optimization
- multi objective evolutionary algorithms
- flowshop
- vehicle routing
- combinatorial optimization problems
- differential evolution
- combinatorial optimization
- bi objective
- simulated annealing
- branch and bound algorithm
- travel time
- mutation operator
- crossover operator
- lower bound
- genetic algorithm
- constrained multi objective optimization problems
- ant colony optimization
- heuristic methods
- multiple objectives
- search space
- fitness function
- feasible solution
- dynamic programming
- special case
- pick up and delivery
- mathematical model
- approximation algorithms
- neural network