Travelling salesman problem for UAV path planning with two parallel optimization algorithms

Chen, Jie; Ye, Fang; Li, Yibing

doi:10.1109/piers-fall.2017.8293250

Cited by 51 publications

(28 citation statements)

References 5 publications

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“…The authors of Reference [28] proposed two parallel optimization algorithms to solve the traveling salesman problem (TSP) for unmanned aerial vehicle (UAV) path planning. The first one is based on the genetic algorithm and it is called the Improved Genetic Algorithm (IGA) and the second one is a hybrid algorithm, called the Particle-Swarm-Optimization-based Ant Colony Optimization algorithm (PSO-ACO).…”

Section: Logistics: Path Planningmentioning

confidence: 99%

A Survey of Recent Extended Variants of the Traveling Salesman and Vehicle Routing Problems for Unmanned Aerial Vehicles

Khoufi

Laouiti

Adjih

2019

Drones

117

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The use of Unmanned Aerial Vehicles (UAVs) is rapidly growing in popularity. Initially introduced for military purposes, over the past few years, UAVs and related technologies have successfully transitioned to a whole new range of civilian applications such as delivery, logistics, surveillance, entertainment, and so forth. They have opened new possibilities such as allowing operation in otherwise difficult or hazardous areas, for instance. For all applications, one foremost concern is the selection of the paths and trajectories of UAVs, and at the same time, UAVs control comes with many challenges, as they have limited energy, limited load capacity and are vulnerable to difficult weather conditions. Generally, efficiently operating a drone can be mathematically formalized as a path optimization problem under some constraints. This shares some commonalities with similar problems that have been extensively studied in the context of urban vehicles and it is only natural that the recent literature has extended the latter to fit aerial vehicle constraints. The knowledge of such problems, their formulation, the resolution methods proposed—through the variants induced specifically by UAVs features—are of interest for practitioners for any UAV application. Hence, in this study, we propose a review of existing literature devoted to such UAV path optimization problems, focusing specifically on the sub-class of problems that consider the mobility on a macroscopic scale. These are related to the two existing general classic ones—the Traveling Salesman Problem and the Vehicle Routing Problem. We analyze the recent literature that adapted the problems to the UAV context, provide an extensive classification and taxonomy of their problems and their formulation and also give a synthetic overview of the resolution techniques, performance metrics and obtained numerical results.

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Section: Logistics: Path Planningmentioning

confidence: 99%

A Survey of Recent Extended Variants of the Traveling Salesman and Vehicle Routing Problems for Unmanned Aerial Vehicles

Khoufi

Laouiti

Adjih

2019

Drones

117

View full text Add to dashboard Cite

show abstract

“…Applications for swarm mapping have included surveillance missions, search and rescue operations, weed mapping, and oil spill mapping (Albani, Nardi, & Trianni, ; Howden, ; Nigam, Bieniawski, Kroo, & Vian, ; Odonkor, Ball, & Chowdhury, ; Pitre, Li, & Delbalzo, ; San Juan et al, ). However, studies remain focussed on using simulations to test either algorithms (Almeida, Hildmann, & Solmaz, ; Chen, Ye, & Li, ; Yang, Ji, Yang, Li, & Li, ; Zhao et al, ) or data processing techniques (Casbeer, Kingston, Beard, & McLain, ; Ruiz, Caballero, & Merino, ). Despite the lack of real‐world testing due to physical and legal constraints, swarm technology may enable rapid acquisition of data for river corridor applications on unprecedented scales.…”

Section: Future Directionsmentioning

confidence: 99%

Remote sensing of river corridors: A review of current trends and future directions

Tomsett

Leyland

2019

River Research & Apps

103

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River corridors play a crucial environmental, economic, and societal role yet also represent one of the world's most dangerous natural hazards, making monitoring imperative to improve our understanding and to protect people. Remote sensing offers a rapidly growing suite of methods by which river corridor monitoring can be performed efficiently, at a range of scales and in difficult environmental conditions. This paper aims to evaluate the current state and assess the potential future of river corridor monitoring, whilst highlighting areas that require further investigation. We initially review established methods that are used to undertake river corridor monitoring, framed by the context and scales upon which they are applied. Subsequently, we review cutting edge technologies that are being developed and focussed around unmanned aerial vehicle and multisensor system advances. We also "horizon scan" for future methods that may become increasingly prominent in research and management, citing examples from within and outside of the fluvial domain. Through review of the literature, it has become apparent that the main gap in fluvial remote sensing lies in the trade-off between resolution and scales. However, prioritising process measurements and simultaneous multisensor data collection is likely to offer a bigger advance in understanding than purely from better surveying methods alone. Challenges regarding the legal deployment of more complex systems, as well as effectively disseminating data into the science community, are amongst those that we propose need addressing. However, the plethora of methods currently available means that researchers and monitoring agencies will be able to identify suitable techniques for their needs.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…At step 1, the UAV trajectory is firstly initialized to fly a circular trajectory through the method proposed in [33]. The UAV trajectory can also be initialized to travel to each places of interest with the shortest distance, which can be found by solving the traveling salesman problem (TSP) [45]. Based on the initialized trajectory, the UAV trajectory can either lead to coverage fairness (circular trajectory) or geographically close to the GTs (TSP trajectory).…”

Section: Overall Algorithm Designmentioning

confidence: 99%

Joint Trajectory-Task-Cache Optimization in UAV-Enabled Mobile Edge Networks for Cyber-Physical System

et al. 2019

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This paper studies an unmanned aerial vehicle (UAV)-enabled mobile edge network for Cyber-Physical System (CPS), where UAV with fixed-wing or rotary-wing is dispatched to provide communication and mobile edge computing (MEC) services to ground terminals (GTs). To minimize the energy consumption so as to extend the endurance of the UAV, we intend to jointly optimize its 3D trajectory and the task-cache strategies among GTs to save the energies spent on flight propulsion and GT tasks. Such joint trajectorytask-cache problem is difficult to be optimally solved, as it is non-convex and involves multiple constraints. To tackle this problem, we reformulate the optimizing of task offloading and cache into two tractable linear program (LP) problems, and the optimizing of UAV trajectory into three convex Quadratically Constrained Quadratically Program (QCQP) problems on horizontal trajectory, vertical trajectory and flight time of the UAV respectively. Then a block coordinate descent algorithm is proposed to iteratively solve the formed subproblems through a successive convex optimization (SCO) process. A high-quality sub-optimal solution to the joint problem then will be obtained, after the algorithm converging to a prescribed accuracy. The numerical results show the proposed solution significantly outperforms the baseline solution. INDEX TERMS Unmanned aerial vehicle, Internet of Thing, mobile edge computing, 3D trajectory design, cache deployment.

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Travelling salesman problem for UAV path planning with two parallel optimization algorithms

Cited by 51 publications

References 5 publications

A Survey of Recent Extended Variants of the Traveling Salesman and Vehicle Routing Problems for Unmanned Aerial Vehicles

A Survey of Recent Extended Variants of the Traveling Salesman and Vehicle Routing Problems for Unmanned Aerial Vehicles

Remote sensing of river corridors: A review of current trends and future directions

Joint Trajectory-Task-Cache Optimization in UAV-Enabled Mobile Edge Networks for Cyber-Physical System

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