A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack.
Zhuoxuan LiIakov KorovinXinli ShiSergey GorbachevNadezhda GorbachevaWei HuangJinde CaoPublished in: CoRR (2023)
Keyphrases
- prediction model
- metaheuristic
- data driven
- optimization problems
- combinatorial optimization
- optimization method
- harmony search
- tabu search
- ant colony optimization
- regression model
- bp neural network
- simulated annealing
- continuous optimization
- scatter search
- evolutionary algorithm
- vehicle routing problem
- search space
- path relinking
- genetic algorithm
- solution space
- optimization algorithm
- suboptimal solutions
- neural network
- objective function
- particle swarm optimization
- optimal solution
- iterated local search
- benchmark instances
- benchmark problems
- global optimization
- cost function
- hybrid metaheuristic
- nature inspired
- greedy randomized adaptive search procedure
- set of benchmark instances
- multi start
- ant colony optimization metaheuristic
- mathematical programming
- traveling salesman problem
- variable neighborhood search
- forecasting model
- aco algorithm
- guided local search
- np hard
- knapsack problem