Filters








28 Hits in 4.9 sec

Multi-UAVs task assignment method considering expected destruction probability of target

Qian Zhou, Shesheng Gao, Zhaohui Gao, Juan Xia, Genyuan Hong
2021 Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University  
To solve the combat task assignment of reconnaissance unmanned aerial vehicle (RUAV)/unmanned combat aerial vehicle(UCAV), this paper proposed an efficient task assignment method that takes into account  ...  The adjustment factor is added to the model to achieve a balanced distribution of RUAVs/UCAVs resources; the expected destruction probability of target is introduced as a constraint to prevent the excessive  ...  Comparison of parallel genetic algorithm and particle swarm optimization for real• time uav path planning[ J] .  ... 
doi:10.1051/jnwpu/20213930617 fatcat:xq5r64a47ngn7kxwyuaxcudp3e

Weapon configuration, allocation and route planning with time windows for multiple unmanned combat air vehicles

2018 Journal of Systems Engineering and Electronics  
This work presents a mixed integer programming model for simultaneous weapon configuration and route planning of UCAVs, which solves the problem optimally using the IBM ILOG CPLEX optimizer for simple  ...  Military attack missions often employ a fleet of UCAVs equipped with weapons to attack a set of known targets. A UCAV can carry different weapons to accomplish different combat missions.  ...  [14] formulated the resource scheduling problem as an optimal assignment problem and presented a new algorithm based on the principles of particle swarm optimization (PSO).  ... 
doi:10.21629/jsee.2018.05.08 fatcat:soojzr3ixbcevevmelk7tpstxi

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Yudong Zhang, Shuihua Wang, Genlin Ji
2015 Mathematical Problems in Engineering  
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used optimization techniques.  ...  It is hoped that this survey would be beneficial for the researchers studying PSO algorithms.  ...  [218] developed a comprehensive multiobjective model for optimizing task scheduling to minimize task execution time, task transferring time, and task execution cost.  ... 
doi:10.1155/2015/931256 fatcat:ubc5eywnhzdjllxjaywe4czhnm

A REVIEW OF ARTIFICIAL FISH SWARM OPTIMIZATION METHODS AND APPLICATIONS

Mehdi Neshat, Ali Adeli, Ghodrat Sepidnam, Mehdi Sargolzaei, Adel Najaran Toosi
2012 International Journal on Smart Sensing and Intelligent Systems  
The Swarm Intelligence is a new and modern method employed in optimization problems.  ...  , networks, scheduling, and signal processing and so on.  ...  Multi-Robot Task Allocation and Scheduling based on FSA The problem of multi robot task allocation and scheduling is to assign more relative tasks to less relative robots and to scheme task processing  ... 
doi:10.21307/ijssis-2017-474 fatcat:z3mlrntshjfafndeh7s5ta6yum

A comprehensive review of cuckoo search: variants and hybrids

Iztok Fister Jr., Dušan Fister, Iztok Fister
2013 International Journal of Mathematical Modelling and Numerical Optimisation  
This paper provides a timely review of all the state-of-the-art developments in the last five years, including the discussions of theoretical background and research directions for future development of  ...  Cuckoo search (CS) is an efficient swarm-intelligence-based algorithm and significant developments have been made since its introduction in 2009.  ...  While a single objective optimisation algorithm searches for a single optimal solution, multi-objective optimisation algorithms demand a set of many (potentially infinite), optimal solutions, namely the  ... 
doi:10.1504/ijmmno.2013.059205 fatcat:srngpwf6and67oklo2gpnqmvhi

A comprehensive survey on the Multiple Traveling Salesman Problem: Applications, approaches and taxonomy

Omar Cheikhrouhou, Ines Khoufi
2021 Computer Science Review  
We analyze the MTSP variants and propose a taxonomy and a classification of recent studies.  ...  Although the importance of this optimization problem, there is no survey dedicated to reviewing recent MTSP contributions.  ...  The particle swarm optimization approach was applied in the study proposed in [51] .  ... 
doi:10.1016/j.cosrev.2021.100369 fatcat:xnpxosxsdfbb5i6zm5ajlbx4fu

Multiple Unmanned Aerial Vehicles Cooperative Combat Task Allocation Method Based on Receding Horizon Control

Xia Chen, Fuyu Zhao, Liang Zhao
2017 International Journal of Hybrid Information Technology  
For multiple unmanned aerial vehicles (multi-UAV) task allocation, a new method is given.  ...  Then the optimal decision-making method of multi-UAV cooperative combat task allocation is gotten by the discretization of time and space in the whole process of decision-making and the calculation of  ...  In [6], the multiple UCAV cooperative task assignment model for attacking the ground targets was built and the particle swarm optimization (PSO) The Calculation of the UAV's Capability Function and the  ... 
doi:10.14257/ijhit.2017.10.1.35 fatcat:yrjjrqzi3vgorjgfcqnmr2qkfa

Bat Algorithm (BA) [chapter]

2018 Swarm Intelligence  
The job scheduling targets to distribute optimally a set of N tasks on M resources.  ...  Bat hybrid with particle swarm optimization A hybrid particle swarm optimization with bat algorithm (hybrid PSO-BA) is designed based on original PSO and bat algorithm in [15] .  ...  , and particle swarm optimization (PSO).  ... 
doi:10.1201/9781315222455-6 fatcat:724x2apwyrc2ngjsx7satgyrbm

A Hybrid Differential Evolution Algorithm and Its Application in Unmanned Combat Aerial Vehicle Path Planning

Jeng-Shyang Pan, Nengxian Liu, Shu-Chuan Chu
2020 IEEE Access  
The simulation results show that the proposed CIJADE can efficiently find the optimal or near optimal flight path for UCAV.  ...  What's more, we apply the proposed CIJADE to deal with Unmanned Combat Aerial Vehicle (UCAV) path planning problem.  ...  DE has been also mixed with other swarm intelligence algorithms, such as particle swarm optimization (PSO) [23] and Artificial Bee Colony [24] .  ... 
doi:10.1109/access.2020.2968119 fatcat:vnwyoncddbdhhd32emnmvgvz7u

Robot path planning based on laser range finder and novel objective functions in grey wolf optimizer

Navid Toufan, Aliakbar Niknafs
2020 SN Applied Sciences  
In this paper, three new objective functions are introduced in the structure of improved grey wolf optimizer (IGWO) and improved particle swarm optimization (IPSO) for the robot path planning problems.  ...  Keywords Multi robot path planning · Grey wolf optimizer · Multi-objective function · Optimal path · Laser range finder · V-REP robot simulator * Aliakbar Niknafs,  ...  In [47] a new particle swarm optimization algorithm is introduced to track the pedestrians in a crowded scene.  ... 
doi:10.1007/s42452-020-3093-5 fatcat:ph7oyb52irgnhmjnqtf3i5jlry

Multidepot UAV Routing Problem with Weapon Configuration and Time Window

Tianren Zhou, Jiaming Zhang, Jianmai Shi, Zhong Liu, Jincai Huang
2018 Journal of Advanced Transportation  
A mixed-integer linear programming model is developed to jointly optimize three kinds of decisions: the weapon configuration strategy in the UAV, the routing strategy of target, and the allocation strategy  ...  An adaptive large neighborhood search (ALNS) algorithm is proposed for solving the problem, which is tested by randomly generated instances covering the small, medium, and large sizes.  ...  [22] described the UAV collaborative task assignment problem as a multiobjective optimization problem and solved it using a Pareto-dominated multiobjective discrete particle swarm optimization algorithm  ... 
doi:10.1155/2018/7318207 fatcat:gwnxfrrio5d6vcbxtzos2egjam

A Detailed Survey and Future Directions of Unmanned Aerial Vehicles (UAVs) with Potential Applications

Nourhan Elmeseiry, Nancy Alshaer, Tawfik Ismail
2021 Aerospace (Basel)  
UAVs are aircraft that can fly without the need of a human pilot onboard, meaning they can fly either autonomously or be remotely piloted.  ...  for their size, weight, range and endurance, engine type, and configuration.  ...  Various algorithms were developed to achieve trajectory planning of a UAV, including but not limited to the A* algorithm [75, 76] , particle swarm optimization algorithm [77] , neural networks [78]  ... 
doi:10.3390/aerospace8120363 fatcat:bb3kyn3ikzhy5clnplvwb6xxgm

Development and application of a value driven design assessment framework to an unmanned air system design

Evangelos Papageorgiou
2018 2018 Advances in Science and Engineering Technology International Conferences (ASET)  
Game Theory as an optimization tool is used to develop a novel hybrid cooperative/non-cooperative non-zero sum, complete information game among all involved stakeholders as players.  ...  Following a valuefocused approach, a novel multi-attribute value model is introduced for objectively capturing the stakeholder's preferences and expectations.  ...  Players could also be fictitious, each having control 41 of one design variable in a particle swarm optimisation, Annamdas et al.  ... 
doi:10.1109/icaset.2018.8376805 fatcat:bnhcdz4lnbe6bbriigl5gd3ynm

Conference Guide [Front matter]

2020 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)  
In this paper a new NDT based SLAM method using Particle Swarm Optimization called NDT-PSO is proposed.  ...  Among them, particle swarm optimization algorithm has strong global optimization ability, which can quickly optimize the weight matrix to a certain accuracy, but the follow-up optimization time is too  ...  In this paper we investigate the resilient consensus problem for multi-agent systems under the specific attack scenarios where the attacker can eavesdrop on initial information of agents among the system  ... 
doi:10.1109/icarcv50220.2020.9305477 fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi

Advances in air to air refuelling

Peter R. Thomas, Ujjar Bhandari, Steve Bullock, Thomas S. Richardson, Jonathan L. du Bois
2014 Progress in Aerospace Sciences  
Etymologically there is little difference between the meaning of 'cooperative' and 'collaborative', though in a control context 'cooperative' is frequently associated with swarms of similar robots whereas  ...  Rendezvous scheduling Prior to the docking task the receiver must first rendezvous with the tanker in a timely and safe manner.  ... 
doi:10.1016/j.paerosci.2014.07.001 fatcat:roclwvz5rjgifjcxup2jewoayi
« Previous Showing results 1 — 15 out of 28 results