A new approach based on hybrid ant colony optimization-artificial bee colony algorithm for multi-objective electric vehicle routing problems.
Serap Ercan ComertHarun Resit YazganPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- ant colony optimization
- artificial bee colony algorithm
- multi objective
- vehicle routing problem
- particle swarm optimization
- metaheuristic
- hybrid algorithm
- artificial bee colony
- particle swarm optimization algorithm
- traveling salesman problem
- genetic algorithm
- swarm intelligence
- evolutionary algorithm
- combinatorial optimization problems
- tabu search
- optimization algorithm
- multi objective optimization
- multiobjective optimization
- optimization problems
- ant colony
- pso algorithm
- simulated annealing
- bi objective
- aco algorithm
- combinatorial optimization
- nature inspired
- benchmark instances
- abc algorithm
- differential evolution
- particle swarm optimization pso
- test instances
- objective function
- ant colony optimization algorithm
- global optimization
- multiple objectives
- ant colony algorithm
- routing problem
- optimal solution
- job shop scheduling problem
- variable neighborhood search
- convergence speed
- path relinking
- memetic algorithm
- nsga ii
- ant colonies
- search space
- search methods
- benchmark problems
- optimization method
- artificial immune system
- computational efficiency
- evolutionary computation
- test problems