LOGAN's Run: Lane optimisation using genetic algorithms based on NSGA-II.
Simon WitheridgeBenjamin N. PassowJethro ShellPublished in: IJCNN (2014)
Keyphrases
- nsga ii
- multi objective optimisation
- multi objective
- genetic algorithm
- multi objective optimization
- evolutionary algorithm
- test problems
- multiobjective optimization
- pareto optimal
- optimization problems
- multiobjective evolutionary algorithm
- optimization algorithm
- fitness function
- multi objective differential evolution
- test functions
- multi objective evolutionary algorithms
- mutation operator
- evolutionary multiobjective optimization
- optimal solution
- differential evolution
- evolutionary multiobjective
- constrained multi objective optimization problems
- bi objective
- knapsack problem
- multi objective optimization problems
- uniform design
- multiple objectives
- pareto dominance
- pareto optimal solutions
- crossover operator
- particle swarm optimization
- traffic flow
- simulated annealing
- neural network
- multi criteria
- branch and bound algorithm
- fuzzy logic
- pareto optimal set
- objective function
- multi objective problems
- multi objective genetic algorithm
- genetic algorithm ga
- benchmark problems
- cooperative coevolution
- strength pareto evolutionary algorithm
- genetic operators
- tabu search