Optimization of touristic distribution networks using genetic algorithms.

Medina, Josep R., and Yepes, Víctor. "Optimization of touristic distribution networks using genetic algorithms.." SORT 27.1 (2003): 95-112. <http://eudml.org/doc/40444>.

@article{Medina2003,
abstract = {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.},
author = {Medina, Josep R., Yepes, Víctor},
journal = {SORT},
keywords = {Investigación operativa; Redes de distribución; Algoritmos genéticos; Problemas de rutas de vehículos},
language = {eng},
number = {1},
pages = {95-112},
title = {Optimization of touristic distribution networks using genetic algorithms.},
url = {http://eudml.org/doc/40444},
volume = {27},
year = {2003},
}

TY - JOUR
AU - Medina, Josep R.
AU - Yepes, Víctor
TI - Optimization of touristic distribution networks using genetic algorithms.
JO - SORT
PY - 2003
VL - 27
IS - 1
SP - 95
EP - 112
AB - 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.
LA - eng
KW - Investigación operativa; Redes de distribución; Algoritmos genéticos; Problemas de rutas de vehículos
UR - http://eudml.org/doc/40444
ER -