A Fuzzy Receding Horizon Control Strategy for Dynamic Vehicle Routing Problem

Zheng, Junshuai; Zhang, Yuzhou

doi:10.1109/access.2019.2948154

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…After the spreader speed control strategy is applied, the spreader speed is sampled again and the calculations are repeated, yielding a new control and new predicted speed. The prediction horizon is continuously shifted forward, and for this reason, MPC is also called Receding Horizon Control [62]. Although this approach is not optimal, in practice it has given very good results [63].…”

Section: Mpc Is a Multivariable Control Algorithm Which Usesmentioning

confidence: 99%

Application of Neural Network Predictive Control Methods to Solve the Shipping Container Sway Control Problem in Quay Cranes

2021

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Smart control systems are mostly applied in industry to control the movements of heavy machinery while optimizing overall operational efficiency. Major shipping companies use large quay cranes to load and unload containers from ships and still rely on the experience of on-site operators to perform transportation control procedures using joysticks and visual contact methods. This paper presents the research results of an EU-funded project for the Klaipeda container terminal to develop a novel container transportation security and cargo safety assurance method and system. It was concluded that many risks arise during the container handling procedures performed by the quay cranes and operators. To minimize these risks, the authors proposed controlling the sway of the spreader using a model predictive control method which applies a multi-layer perceptron (MLP) neural network (NN). The paper analyzes current neural network architectures and case studies and provides the engineering community with a unique case study which applies real operation statistical data. Several key training algorithms were tested, and the initial results suggest that the Levenberg-Marquardt (LM) algorithm and variable learning rate backpropagation perform better than methods which use the multi-layer perceptron neural network structure.

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Section: Mpc Is a Multivariable Control Algorithm Which Usesmentioning

confidence: 99%

Application of Neural Network Predictive Control Methods to Solve the Shipping Container Sway Control Problem in Quay Cranes

2021

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A Brief Literature Review About Bioinspired Metaheuristics to Solve Vehicle Routes Problem with Time Window

Polo-Pichon

Palacio

De-la-Hoz-Franco

2022

Proceedings of the International Conference on Intelligent Vision and Computing (ICIVC 2021)

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The Vehicle Routing Problem with Time Windows has become a pretty studied optimization problem. Because the time constraint greatly expands the possible solutions; this allow that the model get closer to reality. In this investigation, the restrictions, the conclusions and future works of around two hundred papers, have been consulted at Web of Science, Scopus and Sage. In these, the most widely used bioinspired metaheuristic algorithms were analyzed to provide solutions in the vehicle routing problem with time windows. The objective of this research is the publication of an article, which serves as a reference or support to give a broad documented vision to future research on Bioinspired Metaheuristics. The findings about them: Few written evidence it found about periodic restriction, and only some papers, involving heterogeneous fleets. From the perspective of metaheuristic techniques, the algorithms that has been most used for solve this problem, are the genetic algorithms. In addition, little information was found on the application of the Buffalo and Cuckoo algorithms. Which can become a great opportunity for new research in this field. Based on these findings, it can be concluded that the application of hybrid algorithms, could be analyzed in depth. Because there is little information, and this represents a wide and interesting spectrum of research, which can be used to increase solutions in these problems.

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Optimizing delivery routes for sustainable food delivery for multiple food items per order

Thipparthy,

Khalaf,

Yogi

et al. 2024

Discov Sustain

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The diversity of consumer demand for take-out food has led to the characteristic structure of one order with multiple items, where the different food items in a single order are provided by two or more merchants. In the context of multi-item delivery for take-out orders with time windows, this study investigates vehicle routing for order delivery. This research aims to improve the service level of merchants and the efficiency of delivery vehicles. Food vendors receive orders from consumers through online platforms, then package the food items according to the orders. This method is a preliminary exploration of the issue of fulfilment of takeout orders on online platforms, and can provide preliminary theoretical support for decision-making on the delivery process of takeout orders on online platforms. In the context of online catering sales platforms and offline food sales merchants, this paper studies the delivery problem of takeaway orders with a time window and the characteristics of one order and multiple items, and constructs a method that takes the order delivery time requirements into account and minimizes the total order fulfilment cost. Taking into account the time window constraints of both physical restaurants and consumers, genetic algorithms are utilized to solve the order delivery problem. Finally, through case studies and experiments, the effectiveness and feasibility of the mathematical model are validated. Practical recommendations and insights are provided from the perspective of management and route planning.

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A Fuzzy Receding Horizon Control Strategy for Dynamic Vehicle Routing Problem

Cited by 3 publications

References 33 publications

Application of Neural Network Predictive Control Methods to Solve the Shipping Container Sway Control Problem in Quay Cranes

Application of Neural Network Predictive Control Methods to Solve the Shipping Container Sway Control Problem in Quay Cranes

A Brief Literature Review About Bioinspired Metaheuristics to Solve Vehicle Routes Problem with Time Window

Optimizing delivery routes for sustainable food delivery for multiple food items per order

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