A Dynamic Multi-Mobile Agent Itinerary Planning Approach in Wireless Sensor Networks via Intuitionistic Fuzzy Set [PDF]
In recent research developments, the application of mobile agents (MAs) has attracted extensive research in wireless sensor networks (WSNs) due to the unique benefits it offers, such as energy conservation, network bandwidth saving, and flexibility of ...
Tariq Alsboui +7 more
doaj +4 more sources
A Spawn Mobile Agent Itinerary Planning Approach for Energy-Efficient Data Gathering in Wireless Sensor Networks [PDF]
Mobile agent (MA), a part of the mobile computing paradigm, was recently proposed for data gathering in Wireless Sensor Networks (WSNs). The MA-based approach employs two algorithms: Single-agent Itinerary Planning (SIP) and Multi-mobile agent Itinerary ...
Huthiafa Q. Qadori +3 more
doaj +4 more sources
An Adaptive Genetic Algorithm for Personalized Itinerary Planning [PDF]
Traveling as a very popular leisure activity enjoyed by many people all over the world. Typically, tourists have different kinds of preferences about their itineraries, limited time budgets, unfamiliar with the wide range of Points-of-Interest (POIs) in ...
Phatpicha Yochum +3 more
doaj +4 more sources
Planning an itinerary for an electric vehicle [PDF]
The steady increase in oil prices and awareness regarding environmental risks due to carbon dioxide emissions are promoting the current interest in electric vehicles.
Chale-Gongora, Hugo G. +4 more
core +5 more sources
Recommended travel itinerary planning is an important issue in travel platforms or travel systems. Most research focuses on minimizing the time spent traveling between attractions or the cost of attractions.
Shuo-Tsung Chen +6 more
doaj +3 more sources
A Bio-Inspired Data-Driven Hybrid Optimization Framework for Task Unit Partition in Cruise Itinerary Planning [PDF]
Personalized itinerary planning for large-scale passengers under resource constraints is a critical challenge in enhancing the operational efficiency and service quality of cruise tourism. Traditional clustering methods, which primarily rely on geometric
Zixiang Zhang, Dening Song, Jinghua Li
doaj +2 more sources
Algorithms for Itinerary Planning in Multimodal Transportation Networks [PDF]
The itinerary planning problem in an urban public transport system constitutes a common routing and scheduling decision faced by travelers. The objective of this paper is to present a new formulation and an algorithm for solving the itinerary planning problem, i.e., determination of the itinerary that lexicographically optimizes a set of criteria (i.e.,
Konstantinos G Zografos +1 more
exaly +2 more sources
Traveling itinerary problem in a scheduled multimodal transportation network for a fixed sequence of cities. [PDF]
Developing an efficient and economical journey plan in multimodal transportation networks is of significant and fast-growing importance, but it is still an annoying experience for a traveler.
Rafaqat Ali, Hai Jiang, Lubos Buzna
doaj +2 more sources
In order to mitigate the problem of data congestion, increased latency, and high-energy consumption in wireless sensor networks, mobile agent (MA) has been proven to be a viable alternative to the traditional client-server data gathering model.
Huthiafa Q. Qadori +4 more
doaj +3 more sources
Scenic spot path planning and journey customization based on multilayer hybrid hypernetwork optimization. [PDF]
In the face of increasingly diverse demands from tourists, traditional methods for scenic route planning often struggle to meet these varied needs. To address this challenge and enhance the overall service quality of tourist destinations, as well as to ...
Chunqiao Song
doaj +2 more sources

