Multi-objective optimization of vehicle routing problem using evolutionary algorithm with memory.
Krzysztof PodlaskiGrzegorz WiatrowskiPublished in: Comput. Sci. (2017)
Keyphrases
- multi objective optimization
- vehicle routing problem
- evolutionary algorithm
- multi objective
- metaheuristic
- simulated annealing
- optimization problems
- tabu search
- benchmark problems
- search strategies
- hybrid metaheuristic
- evolutionary computation
- particle swarm optimization
- differential evolution
- vehicle routing
- routing problem
- traveling salesman problem
- hybrid evolutionary algorithm
- memetic algorithm
- vehicle routing problem with time windows
- initial population
- genetic algorithm
- travel time
- combinatorial optimization
- fitness function
- np hard
- multi objective optimization problems
- nsga ii
- optimization method
- multi depot
- multiple objectives
- combinatorial optimization problems
- genetic programming
- pareto optimal
- bi objective
- mutation operator
- differential evolution algorithm
- pareto optimal set
- knapsack problem
- genetic operators
- vehicle routing problem with simultaneous
- evolution strategy
- ant colony optimization
- optimization algorithm
- multi objective genetic algorithm
- crossover operator
- scheduling problem
- solving multi objective optimization problems
- pick up and delivery
- multi objective genetic algorithms
- evolutionary strategy
- feasible solution
- neural network