Multi-objective Memetic Algorithm Based on NSGA-II and Simulated Annealing for Calibrating CORSIM Micro-Simulation Models of Vehicular Traffic Flow.
Carlos Alberto Cobos LozadaCristian ErazoJulio LunaMartha MendozaCarlos GaviriaCristian ArteagaAlexander PazPublished in: CAEPIA (2016)
Keyphrases
- traffic flow
- memetic algorithm
- simulation models
- nsga ii
- simulated annealing
- multi objective
- tabu search
- evolutionary algorithm
- crossover operator
- genetic algorithm
- test problems
- evolutionary computation
- multi objective optimization
- simulation model
- combinatorial optimization
- pareto optimal
- multiobjective optimization
- multiobjective evolutionary algorithm
- metaheuristic
- optimization algorithm
- bi objective
- solution quality
- cellular automata
- multi objective optimization problems
- travel time
- benchmark problems
- optimization problems
- traffic data
- job shop scheduling problem
- fitness function
- feasible solution
- multi objective evolutionary algorithms
- traffic congestion
- genetic programming
- particle swarm optimization
- multi objective optimisation
- multiple objectives
- genetic algorithm ga
- traffic light
- differential evolution
- intelligent transportation systems
- multi objective problems
- pareto optimal solutions
- traffic density
- objective function
- traffic information
- traffic patterns
- vehicle routing problem
- computational efficiency
- artificial neural networks
- strength pareto evolutionary algorithm
- pareto optimal set
- multi criteria
- fuzzy logic
- search algorithm