Collaborative Target Search Algorithm for UAV Based on Chaotic Disturbance Pigeon-Inspired Optimization
Unmanned aerial vehicles (UAVs) have shown their superiority in military and civilian missions. In the face of complex tasks, many UAVs are usually needed to cooperate with each other. Therefore, multi-UAV cooperative target search has attracted more and more scholars’ attention. At present, there a...
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| Abstract | Unmanned aerial vehicles (UAVs) have shown their superiority in military and civilian missions. In the face of complex tasks, many UAVs are usually needed to cooperate with each other. Therefore, multi-UAV cooperative target search has attracted more and more scholars’ attention. At present, there are many bionic algorithms for solving the cooperative search problem of multi-UAVs, including particle swarm optimization algorithm (PSO) and differential evolution (DE). Pigeon-inspired optimization (PIO) is a new swarm intelligence optimization algorithm proposed in recent years. It has great advantages over other algorithms in convergence, robustness, and accuracy, and has few parameters to be adjusted. Aiming at the shortcomings of the standard pigeon colony algorithm, such as poor population diversity, slow convergence speed, and the ease of falling into local optimum, we have proposed chaotic disturbance pigeon-inspired optimization (CDPIO) algorithm. The improved tent chaotic map was used to initialize the population and increase the diversity of the population. The disturbance factor is introduced in the iterative update stage of the algorithm to generate new individuals, replace the individuals with poor performance, and carry out disturbance to increase the optimization accuracy. Benchmark functions and UAV target search model were used to test the algorithm performance. The results show that the CDPIO had faster convergence speed, better optimization precision, better robustness, and better performance than PIO. |
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| AbstractList | Unmanned aerial vehicles (UAVs) have shown their superiority in military and civilian missions. In the face of complex tasks, many UAVs are usually needed to cooperate with each other. Therefore, multi-UAV cooperative target search has attracted more and more scholars’ attention. At present, there are many bionic algorithms for solving the cooperative search problem of multi-UAVs, including particle swarm optimization algorithm (PSO) and differential evolution (DE). Pigeon-inspired optimization (PIO) is a new swarm intelligence optimization algorithm proposed in recent years. It has great advantages over other algorithms in convergence, robustness, and accuracy, and has few parameters to be adjusted. Aiming at the shortcomings of the standard pigeon colony algorithm, such as poor population diversity, slow convergence speed, and the ease of falling into local optimum, we have proposed chaotic disturbance pigeon-inspired optimization (CDPIO) algorithm. The improved tent chaotic map was used to initialize the population and increase the diversity of the population. The disturbance factor is introduced in the iterative update stage of the algorithm to generate new individuals, replace the individuals with poor performance, and carry out disturbance to increase the optimization accuracy. Benchmark functions and UAV target search model were used to test the algorithm performance. The results show that the CDPIO had faster convergence speed, better optimization precision, better robustness, and better performance than PIO. |
| Author | Mao, Yingchi Nie, Hua Li, Linlin Xu, Shufang Yu, Shun |
| Author_xml | – sequence: 1 givenname: Linlin orcidid: 0000-0001-6078-8299 surname: Li fullname: Li, Linlin – sequence: 2 givenname: Shufang surname: Xu fullname: Xu, Shufang – sequence: 3 givenname: Hua surname: Nie fullname: Nie, Hua – sequence: 4 givenname: Yingchi orcidid: 0000-0002-9884-8100 surname: Mao fullname: Mao, Yingchi – sequence: 5 givenname: Shun surname: Yu fullname: Yu, Shun |
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| Cites_doi | 10.1109/TEVC.2020.2983311 10.1109/SCIS-ISIS.2012.6505349 10.1109/TAES.2018.2886612 10.1109/TSG.2015.2431072 10.1109/TAES.2020.3029624 10.1108/IJICC-02-2014-0005 10.1007/978-3-642-21705-0_11 10.1631/FITEE.2000066 10.1109/TMECH.2019.2953239 10.1109/TCBB.2015.2443789 10.1109/TMAG.2019.2899893 10.1109/TNNLS.2015.2479117 |
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| References | Duan (ref_13) 2021; 57 Duan (ref_8) 2016; 27 Ruan (ref_9) 2020; 21 Wang (ref_16) 2021; 21 Hua (ref_14) 2020; 50 Xu (ref_18) 2018; 54 Hai (ref_19) 2019; 24 Fakhfakh (ref_4) 2011; Volume 366 Qu (ref_17) 2020; 50 Duan (ref_21) 2014; 7 Zhang (ref_11) 2017; 14 Wu (ref_25) 2013; 35 Duan (ref_15) 2018; 48 Duan (ref_10) 2019; 55 ref_24 Ryu (ref_7) 2019; 55 ref_23 Ye (ref_5) 2018; 54 ref_3 ref_2 Duan (ref_12) 2015; 45 Li (ref_22) 2016; 7 Yang (ref_6) 2019; 55 Duan (ref_20) 2020; 24 ref_26 Dobes (ref_1) 2013; 22 |
| References_xml | – volume: 50 start-page: 453 year: 2020 ident: ref_14 article-title: A spacecraft cluster orbit planning method based on adaptive population mutation pigeons swarm opti-mization publication-title: Sci. China Technol. Sci. – volume: 24 start-page: 948 year: 2020 ident: ref_20 article-title: Limit-Cycle-Based Mutant Multi-objective Pigeon-Inspired Optimization publication-title: IEEE Trans. Evol. Comput. doi: 10.1109/TEVC.2020.2983311 – ident: ref_2 doi: 10.1109/SCIS-ISIS.2012.6505349 – ident: ref_3 – ident: ref_24 – ident: ref_26 – volume: 55 start-page: 2347 year: 2019 ident: ref_10 article-title: Predator-Prey Pigeon-Inspired Optimization for UAV ALS Longitudinal Parameters Tuning publication-title: IEEE Trans. Aerosp. Electron. Syst. doi: 10.1109/TAES.2018.2886612 – volume: 54 start-page: 1 year: 2018 ident: ref_5 article-title: Multi-Objective Optimization Design for Electromagnetic Devices with Permanent Magnet Based on Approximation Model and Distributed Cooperative Particle Swarm Optimization Algorithm publication-title: IEEE Trans. Magn. – volume: 7 start-page: 66 year: 2016 ident: ref_22 article-title: Stochastic Optimal Operation of Microgrid Based on Chaotic Binary Particle Swarm Optimization publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2015.2431072 – volume: 57 start-page: 706 year: 2021 ident: ref_13 article-title: Dynamic Discrete Pigeon-Inspired Optimization for Multi-UAV Cooperative Search-Attack Mission Plan-ning publication-title: IEEE Trans. Aerosp. Electron. Syst. doi: 10.1109/TAES.2020.3029624 – ident: ref_23 – volume: 48 start-page: 277 year: 2018 ident: ref_15 article-title: Rolling time domain control of large civil aircraft based on Cauchy mutation flock optimization publication-title: Sci. China Technol. Sci. – volume: 7 start-page: 24 year: 2014 ident: ref_21 article-title: Pigeon-inspired optimization: A new swarm intelligence optimizer for air robot path planning publication-title: Int. J. Intell. Comput. Cybern. doi: 10.1108/IJICC-02-2014-0005 – volume: 55 start-page: 1 year: 2019 ident: ref_6 article-title: Multi-Objective Optimization of Contactor’s Characteristics Based on RBF Neural Networks and Hybrid Method publication-title: IEEE Trans. Magn. – volume: 35 start-page: 2430 year: 2013 ident: ref_25 article-title: A new swarm intelligence algorithm—Wolf pack algorithm publication-title: Syst. Eng. Electron. – volume: Volume 366 start-page: 297 year: 2011 ident: ref_4 article-title: Analogue Circuit Optimization through a Hybrid Approach publication-title: Intelligent Computational Optimization in Engineering doi: 10.1007/978-3-642-21705-0_11 – volume: 21 start-page: 740 year: 2020 ident: ref_9 article-title: Obstacle avoidance control for multi-UAV based on multi-objective social learning pigeons swarm opti-mization publication-title: Front. Inf. Technol. Electron. Eng. doi: 10.1631/FITEE.2000066 – volume: 22 start-page: 136 year: 2013 ident: ref_1 article-title: Multiobjective optimization for electronic circuit design in time and frequency domains publication-title: Radioengineering – volume: 21 start-page: 475 year: 2021 ident: ref_16 article-title: Design of Self-Shielded Uniform Magnetic Field Coil via Modified Pigeon-Inspired Optimization in Minia-ture Atomic Sensors publication-title: IEEE Sens. J. – volume: 24 start-page: 2616 year: 2019 ident: ref_19 article-title: Mobile Robot ADRC With an Automatic Parameter Tuning Mechanism via Modified Pigeon-Inspired Optimization publication-title: IEEE/ASME Trans. Mechatron. doi: 10.1109/TMECH.2019.2953239 – volume: 14 start-page: 97 year: 2017 ident: ref_11 article-title: Three-Dimensional Path Planning for Uninhabited Combat Aerial Vehicle Based on Predator-Prey Pigeon-Inspired Optimization in Dynamic Environment publication-title: IEEE/ACM Trans. Comput. Biol. Bioinform. doi: 10.1109/TCBB.2015.2443789 – volume: 50 start-page: 475 year: 2020 ident: ref_17 article-title: Clustering optimization algorithm for large scale UAV based on intelligent behavior of pigeons publication-title: Sci. China Technol. Sci. – volume: 54 start-page: 1 year: 2018 ident: ref_18 article-title: UAV Power Component—DC Brushless Motor Design with Merging Adjacent-Disturbances and Integrated-Dispatching Pigeon-Inspired Optimization publication-title: IEEE Trans. Magn. – volume: 45 start-page: 559 year: 2015 ident: ref_12 article-title: Tight formation cooperative control of unmanned aerial vehicle based on predation and escape pigeons swarm optimization publication-title: Sci. China Technol. Sci. – volume: 55 start-page: 1 year: 2019 ident: ref_7 article-title: Multi-Objective Topology Optimization of a Magnetic Actuator Using an Adaptive Weight and Tunneling Method publication-title: IEEE Trans. Magn. doi: 10.1109/TMAG.2019.2899893 – volume: 27 start-page: 2413 year: 2016 ident: ref_8 article-title: Echo State Networks With Orthogonal Pigeon-Inspired Optimization for Image Restoration publication-title: IEEE Trans. Neural Netw. Learn. Syst. doi: 10.1109/TNNLS.2015.2479117 |
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| SubjectTerms | Birds Cooperation cooperative target search disturbance mechanism Efficiency Evacuations & rescues Magnetic fields Mutation Optimization algorithms pigeon-inspired optimization Population tent map |
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| Title | Collaborative Target Search Algorithm for UAV Based on Chaotic Disturbance Pigeon-Inspired Optimization |
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