Evolutionary Approach for the Containers ...
Document type :
Article dans une revue scientifique: Article original
Title :
Evolutionary Approach for the Containers Bin-Packing Problem
Author(s) :
Ryan, Kammarti [Auteur]
Ecole Nationale d'Ingénieurs de Tunis [ENIT]
Imen, Ayachi [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Ecole Nationale d'Ingénieurs de Tunis [ENIT]
Borne, Pierre [Auteur]
LAGIS-OSL
Mekki, Ksouri [Auteur]
Ecole Nationale d'Ingénieurs de Tunis [ENIT]
Ecole Nationale d'Ingénieurs de Tunis [ENIT]
Imen, Ayachi [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Ecole Nationale d'Ingénieurs de Tunis [ENIT]
Borne, Pierre [Auteur]

LAGIS-OSL
Mekki, Ksouri [Auteur]
Ecole Nationale d'Ingénieurs de Tunis [ENIT]
Journal title :
Studies in Informatics and Control
Pages :
315-324
Publisher :
Informatics and Control Publications
Publication date :
2009
ISSN :
1220-1766
English keyword(s) :
Bin-paking
Genetic algorithm
transport scheduling
heuristic
optimization
container
Genetic algorithm
transport scheduling
heuristic
optimization
container
HAL domain(s) :
Computer Science [cs]/Operations Research [math.OC]
English abstract : [en]
This paper deals with the resolution of combinatorial optimization problems, particularly those concerning the maritime transport scheduling. We are interested in the management platforms in a river port and more specifically ...
Show more >This paper deals with the resolution of combinatorial optimization problems, particularly those concerning the maritime transport scheduling. We are interested in the management platforms in a river port and more specifically in container organisation operations with a view to minimizing the number of container rehandlings. Subsequently, we meet customers' delivery deadlines and we reduce ship stoppage time. In this paper, we propose a genetic algorithm to solve this problem and we present some experiments and results.Show less >
Show more >This paper deals with the resolution of combinatorial optimization problems, particularly those concerning the maritime transport scheduling. We are interested in the management platforms in a river port and more specifically in container organisation operations with a view to minimizing the number of container rehandlings. Subsequently, we meet customers' delivery deadlines and we reduce ship stoppage time. In this paper, we propose a genetic algorithm to solve this problem and we present some experiments and results.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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