Result: Optimization of touristic distribution netwoorks using genetic algorithms: Optimization of touristic distribution networks using genetic algorithms

Title:
Optimization of touristic distribution netwoorks using genetic algorithms: Optimization of touristic distribution networks using genetic algorithms
Authors:
Medina, Josep R., Yepes, Víctor
Source:
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
SORT-Statistics and Operations Research Transactions; 2003: Vol.: 27 Núm.: 1 January-June; p. 95-112
Publisher Information:
Institut d'Estadística de Catalunya, 2003.
Publication Year:
2003
Subject Terms:
Classificació AMS::90 Operations research, Combinatorial optimization, Edge mapped recombination operator, Operations research, Investigació operativa, Genetic algorithms, Approximation methods and heuristics in mathematical programming, Classificació AMS::90 Operations research, mathematical programming::90B Operations research and management science, Tourism demand, mathematical programming::90B Operations research and management science, Distribution networks, Vehicle routing problem, 90 Operations research, mathematical programming::90B Operations research and management science [Classificació AMS], Air transportation
Document Type:
Academic journal Article
File Description:
application/pdf; application/xml
Access URL:
https://ddd.uab.cat/record/93735
http://hdl.handle.net/2099/3729
https://hdl.handle.net/2099/3729
https://zbmath.org/2097833
http://www.raco.cat/index.php/SORT/article/view/28850
Rights:
CC BY NC ND
Accession Number:
edsair.dedup.wf.002..0cf36c25d2b3585192fb64257c2e3c1e
Database:
OpenAIRE

Further Information

The eight basic elements to design genetic algorithms (GA) are described and applied to solve a low demand distribution problem of passengers for a hub airport in Alicante and 30 touristic destinations in Northern Africa and Western Europe. The flexibility of GA and the possibility of creating mutually beneficial feed-back processes with human intelligence to solve complex problems as well as the difficulties in detecting erroneous codes embedded in the software are described. A new three-parent edge mapped recombination operator is used to solve the capacitated vehicle routing problem required for estimating associated costs with touristic distribution networks of low demand. GA proved to be very flexible especially in changing business environments and to solve decision-making problems involving ambiguous and sometimes contradictory constraints.