A hybrid approach based on genetic algorithms for solving the Clustered Vehicle Routing Problem.
Petrica C. PopCamelia ChiraPublished in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
- vehicle routing problem
- metaheuristic
- tabu search
- combinatorial optimization
- genetic algorithm
- memetic algorithm
- hybrid metaheuristic
- simulated annealing
- vehicle routing problem with simultaneous
- routing problem
- vehicle routing
- search heuristics
- particle swarm optimization
- vehicle routing problem with time windows
- benchmark problems
- ant colony optimization
- test instances
- traveling salesman problem
- timetabling problem
- travel time
- optimization problems
- neural network
- multi depot
- logistics distribution
- scatter search
- np hard
- multi objective
- genetic programming
- search space
- search algorithm
- knapsack problem
- search strategies
- scheduling problem
- pick up and delivery
- iterated local search
- evolutionary computation
- greedy randomized adaptive search procedure
- dynamic programming
- optimal solution
- variable neighborhood search
- differential evolution
- constraint programming
- hybrid algorithm