Modified adaptive ant colony optimization algorithm and its application for solving path planning of mobile robot
L Wu, X Huang, J Cui, C Liu, W Xiao - Expert Systems with Applications, 2023 - Elsevier
As the key point for auto-navigation of mobile robot, path planning is a research hotspot in
the field of robot. Generally, the ant colony optimization algorithm (ACO) is one of the …
the field of robot. Generally, the ant colony optimization algorithm (ACO) is one of the …
Sustainable group tourist trip planning: An adaptive large neighborhood search algorithm
The tourism industry is a key driver of economic growth and contributes to the achievement
of sustainability goals. This paper presents a multi-objective group tourist planning problem …
of sustainability goals. This paper presents a multi-objective group tourist planning problem …
A novel greedy genetic algorithm-based personalized travel recommendation system
R Paulavičius, L Stripinis, S Sutavičiūtė… - Expert Systems with …, 2023 - Elsevier
In recent years, there has been a significant increase in the utilization of Tourism
Recommendation Systems (TRS) to enhance tourist satisfaction. However, planning a trip …
Recommendation Systems (TRS) to enhance tourist satisfaction. However, planning a trip …
A local search-based non-dominated sorting genetic algorithm for solving a multi-objective medical tourism trip design problem considering the attractiveness of trips
Nowadays, the medical tourism industry encourages many healthcare practitioners to
provide high-quality and low-cost medical services for patients worldwide. The development …
provide high-quality and low-cost medical services for patients worldwide. The development …
A multi-objective optimization approach for sustainable and personalized trip planning: A self-adaptive evolutionary algorithm with case study
In the modern tourism landscape, the fusion of sustainability and personalized travel plans
marks a significant paradigm shift. This paper presents a novel multi-objective optimization …
marks a significant paradigm shift. This paper presents a novel multi-objective optimization …
Designing safety-oriented tourist routes for heterogeneous tourist groups using an artificial multi-intelligence system
R Pitakaso, N Nanthasamroeng… - Journal of Industrial …, 2023 - Taylor & Francis
The prior research on tourist route design for heterogeneous groups primarily focused on
total tourist preferences and individual fairness. In this study, we present an innovative …
total tourist preferences and individual fairness. In this study, we present an innovative …
Application of Industry 3.5 approach for planning of more sustainable supply chain operations for tourism service providers
This paper addresses a tourist trip design problem and a tour route planning problem to
improve the competitiveness of community tourism. The problem was investigated with the …
improve the competitiveness of community tourism. The problem was investigated with the …
Two-stage greedy algorithm based on crowd sensing for tour route recommendation
Currently, the demand for tourism is increasing, but traditional tour group routes have been
unable to meet individual needs. This paper proposes a novel personalized …
unable to meet individual needs. This paper proposes a novel personalized …
An integrated recommender system for multi-day tourist itinerary
Planning a personalized itinerary that satisfies the preferences and limitations of a tourist
can be a complex task. The challenge is further compounded by the lack of information …
can be a complex task. The challenge is further compounded by the lack of information …
MR-AMFO-CNN: an intelligent recommendation system using optimized deep learning classifications
S Cheriyan, K Chitra - International Journal of Information Technology, 2023 - Springer
This paper aims to present a novel recommendation system using the benefits of deep
learning and optimization concepts. Initially, data preprocessing is done using MapReduce …
learning and optimization concepts. Initially, data preprocessing is done using MapReduce …