An enhanced genetic algorithm solution for itinerary recommendation considering various constraints.

ABSTRACT: This paper addresses the challenging task of itinerary recommendation for tourists and proposes an approach for suggesting efficient optimal itineraries in Istanbul, based on constraints. The paper presents an enhanced version of the genetic algorithm (GA), which aims to optimize the itineraries considering various constraints and preferences of the tourists. The improvement of the GA involved suggesting a customized fitness function tailored to address the complexities of the tourism problem, considering factors such as distance, time, cost, tourists' budget, and their desired activities and attractions. Additionally, we proposed a new crossover method, named "Copy Order Crossover" and we modified the tournament selection method beside enhancing the implementation of the swap mutation met

SUBMITTER: Sehab M 

PROVIDER: S-EPMC11623113 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature