On Optimizing a Demand Responsive Transport ...
Document type :
Communication dans un congrès avec actes
Title :
On Optimizing a Demand Responsive Transport with an Evolutionary Multiobjective Approach
Author(s) :
Chevrier, Rémy [Auteur]
Évaluation des Systèmes de Transports Automatisés et leur Sécurité [INRETS/ESTAS]
Liefooghe, Arnaud [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Jourdan, Laetitia [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Dhaenens, Clarisse [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Évaluation des Systèmes de Transports Automatisés et leur Sécurité [INRETS/ESTAS]
Liefooghe, Arnaud [Auteur]

Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Jourdan, Laetitia [Auteur]

Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Dhaenens, Clarisse [Auteur]

Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Conference title :
ITSC 2010 - 13th International IEEE Conference on Intelligent Transport Systems
City :
Madeire
Country :
Portugal
Start date of the conference :
2010-09-19
Publication date :
2010
HAL domain(s) :
Mathématiques [math]/Combinatoire [math.CO]
English abstract : [en]
This paper deals with a dial-a-ride problem with time windows applied to a demand responsive transport service. An evolutionary approach as well as new original representation and variation operators are proposed and ...
Show more >This paper deals with a dial-a-ride problem with time windows applied to a demand responsive transport service. An evolutionary approach as well as new original representation and variation operators are proposed and detailed. Such mechanisms are used with three state-of-the-art multi-objective evolutionary algorithms: NSGA-II, IBEA and SPEA2. After introducing the general problem, the solution encoding and the algorithm mechanisms are depicted. The approach is assessed by applying the algorithms to both random and realistic dial-a-ride instances. Then a statistical comparison is provided in order to highlight the most suited evolutionary algorithms to optimize real-life transportation problems.Show less >
Show more >This paper deals with a dial-a-ride problem with time windows applied to a demand responsive transport service. An evolutionary approach as well as new original representation and variation operators are proposed and detailed. Such mechanisms are used with three state-of-the-art multi-objective evolutionary algorithms: NSGA-II, IBEA and SPEA2. After introducing the general problem, the solution encoding and the algorithm mechanisms are depicted. The approach is assessed by applying the algorithms to both random and realistic dial-a-ride instances. Then a statistical comparison is provided in order to highlight the most suited evolutionary algorithms to optimize real-life transportation problems.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
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