{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T13:29:52Z","timestamp":1745328592949},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s11063-023-11329-7","type":"journal-article","created":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T09:02:33Z","timestamp":1688202153000},"page":"10331-10351","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Self-coloring-Driven Plume Source Localization Strategy for Multiple Robots Using Dirichlet Process Gaussian Mixture Model and Mutation Random Salp Swarm Algorithm"],"prefix":"10.1007","volume":"55","author":[{"given":"Zhenyu","family":"Guo","sequence":"first","affiliation":[]},{"given":"Jie","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Shengshan","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Zhonghua","family":"Li","sequence":"additional","affiliation":[]},{"given":"Qiong","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,1]]},"reference":[{"key":"11329_CR1","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.atmosenv.2015.05.030","volume":"115","author":"A Cantelli","year":"2015","unstructured":"Cantelli A, Dorta F, Cattini A, Sebastianelli F, Cedola L (2015) Application of genetic algorithm for the simultaneous identification of atmospheric pollution sources. Atmos Environ 115:36\u201346","journal-title":"Atmos Environ"},{"issue":"67","key":"11329_CR2","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1016\/j.atmosenv.2014.05.034","volume":"94","author":"D Ma","year":"2014","unstructured":"Ma D, Wang S, Zhang Z (2014) Hybrid algorithm of minimum relative entropy-particle swarm optimization with adjustment parameters for gas source term identification in atmosphere. Atmos Environ 94(67):637\u2013646","journal-title":"Atmos Environ"},{"key":"11329_CR3","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.jhazmat.2018.01.050","volume":"349","author":"F Xue","year":"2018","unstructured":"Xue F, Kikumoto H, Li X, Ooka R (2018) Bayesian source term estimation of atmospheric releases in urban areas using les approach. J Hazard Mater 349:68\u201378","journal-title":"J Hazard Mater"},{"key":"11329_CR4","doi-asserted-by":"crossref","first-page":"117497","DOI":"10.1016\/j.envpol.2021.117497","volume":"285","author":"Y Zhu","year":"2021","unstructured":"Zhu Y, Chen Z, Asif Z (2021) Identification of point source emission in river pollution incidents based on Bayesian inference and genetic algorithm: Inverse modeling, sensitivity, and uncertainty analysis. Environ Pollut 285:117497","journal-title":"Environ Pollut"},{"issue":"2","key":"11329_CR5","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s00477-021-01973-7","volume":"35","author":"D Ma","year":"2021","unstructured":"Ma D, Gao J, Zhang Z, Zhao H (2021) Identifying atmospheric pollutant sources using a machine learning dispersion model and Markov chain monte Carlo methods. Stoch Env Res Risk Assess 35(2):271\u2013286","journal-title":"Stoch Env Res Risk Assess"},{"issue":"1","key":"11329_CR6","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/S0040-6090(02)00593-X","volume":"418","author":"L Marques","year":"2002","unstructured":"Marques L, Nunes U, de Almeida AT (2002) Olfaction-based mobile robot navigation. Thin Solid Films 418(1):51\u201358","journal-title":"Thin Solid Films"},{"issue":"3","key":"11329_CR7","first-page":"234","volume":"29","author":"J Li","year":"2007","unstructured":"Li J, Meng Q, Liang Q (2007) Simulation study on robot active olfaction based on evolutionary gradient search. Robot 29(3):234\u2013238","journal-title":"Robot"},{"key":"11329_CR8","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.buildenv.2019.03.043","volume":"155","author":"Y Yang","year":"2019","unstructured":"Yang Y, Feng Q, Cai H, Xu J, Li F, Deng Z, Yan C, Li X (2019) Experimental study on three single-robot active olfaction algorithms for locating contaminant sources in indoor environments with no strong airflow. Build Environ 155:320\u2013333","journal-title":"Build Environ"},{"key":"11329_CR9","doi-asserted-by":"crossref","DOI":"10.1016\/j.buildenv.2023.109983","volume":"229","author":"M Jabeen","year":"2023","unstructured":"Jabeen M, Meng Q, Jing T et al (2023) Robot odor source localization in indoor environments based on gradient adaptive extremum seeking search. Build Environ 229:109983","journal-title":"Build Environ"},{"issue":"1","key":"11329_CR10","first-page":"172988141875587","volume":"15","author":"KS Eu","year":"2018","unstructured":"Eu KS, Yap KM (2018) Chemical plume tracing: a three-dimensional technique for quadrotors by considering the altitude control of the robot in the casting stage. Int J Adv Robot Syst 15(1):1729881418755877","journal-title":"Int J Adv Robot Syst"},{"issue":"1","key":"11329_CR11","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1177\/1059712315623998","volume":"24","author":"B Gao","year":"2016","unstructured":"Gao B, Li H, Li W, Sun F (2016) 3D moth-inspired chemical plume tracking and adaptive step control strategy. Adapt Behav 24(1):52\u201365","journal-title":"Adapt Behav"},{"key":"11329_CR12","doi-asserted-by":"crossref","first-page":"107482","DOI":"10.1016\/j.measurement.2020.107482","volume":"154","author":"X Chen","year":"2020","unstructured":"Chen X, Huang J (2020) Combining particle filter algorithm with bio-inspired anemotaxis behavior: a smoke plume tracking method and its robotic experiment validation. Measurement 154:107482","journal-title":"Measurement"},{"key":"11329_CR13","volume":"173","author":"M Ling","year":"2022","unstructured":"Ling M, Huo J, Moiseev GV, Hu L, Xiao Y (2022) Multi-robot collaborative radioactive source search based on particle fusion and adaptive step size. Anna Nucl Energy 173:109104","journal-title":"Anna Nucl Energy"},{"issue":"2","key":"11329_CR14","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1109\/TMECH.2019.2892292","volume":"24","author":"JW Wang","year":"2019","unstructured":"Wang JW, Guo Y, Fahad M, Bingham B (2019) Dynamic plume tracking by cooperative robots. IEEE\/ASME Trans Mechatron 24(2):609\u2013620","journal-title":"IEEE\/ASME Trans Mechatron"},{"key":"11329_CR15","volume":"84","author":"T Ma","year":"2020","unstructured":"Ma T, Liu S, Xiao H (2020) Location of natural gas leakage sources on offshore platform by a multi-robot system using particle swarm optimization algorithm. J Nat Gas Sci Eng 84:103636","journal-title":"J Nat Gas Sci Eng"},{"key":"11329_CR16","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.robot.2019.03.014","volume":"118","author":"T Wiedemann","year":"2019","unstructured":"Wiedemann T, Shutin D, Lilienthal AJ (2019) Model-based gas source localization strategy for a cooperative multi-robot system-a probabilistic approach and experimental validation incorporating physical knowledge and model uncertainties. Robot Auton Syst 118:66\u201379","journal-title":"Robot Auton Syst"},{"key":"11329_CR17","unstructured":"Marques L, Nunes U, de Almeida A (2002) Cooperative odour field exploration with genetic algorithms. In: Proceedings of 5th Portuguese conference on automatic control (CONTROLO 2002), pp 138\u2013143"},{"key":"11329_CR18","doi-asserted-by":"crossref","unstructured":"Wang W, Cao M, Ma S, Ren C, Zhu X, Lu H (2016) Multi-robot odor source search based on cuckoo search algorithm in ventilated indoor environment. In: 2016 12th world congress on intelligent control and automation (WCICA) (IEEE), pp 1496\u20131501","DOI":"10.1109\/WCICA.2016.7578817"},{"issue":"2","key":"11329_CR19","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1109\/MCI.2007.353419","volume":"2","author":"W Jatmiko","year":"2007","unstructured":"Jatmiko W, Sekiyama K, Fukuda T (2007) A pso-based mobile robot for odor source localization in dynamic advection\u2013diffusion with obstacles environment: theory, simulation and measurement. IEEE Comput Intell Mag 2(2):37\u201351","journal-title":"IEEE Comput Intell Mag"},{"issue":"11","key":"11329_CR20","doi-asserted-by":"crossref","first-page":"1661","DOI":"10.1049\/iet-cta.2011.0513","volume":"6","author":"DW Gong","year":"2012","unstructured":"Gong DW, Zhang Y, Qi CL (2012) Localising odour source using multi-robot and anemotaxis-based particle swarm optimisation. IET Control Theory Appl 6(11):1661\u20131670","journal-title":"IET Control Theory Appl"},{"key":"11329_CR21","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.atmosenv.2017.03.009","volume":"157","author":"J Wang","year":"2017","unstructured":"Wang J, Zhang R, Yan Y, Dong X, Li JM (2017) Locating hazardous gas leaks in the atmosphere via modified genetic, MCMC and particle swarm optimization algorithms. Atmos Environ 157:27\u201337","journal-title":"Atmos Environ"},{"key":"11329_CR22","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.neucom.2018.02.078","volume":"292","author":"Y Yan","year":"2018","unstructured":"Yan Y, Zhang R, Wang J, Li J (2018) Modified PSO algorithms with request and reset for leak source localization using multiple robots. Neurocomputing 292:82\u201390","journal-title":"Neurocomputing"},{"key":"11329_CR23","doi-asserted-by":"crossref","DOI":"10.1016\/j.scs.2019.101897","volume":"53","author":"Q Feng","year":"2020","unstructured":"Feng Q, Cai H, Yang Y, Xu J, Jiang M, Li F, Li X, Yan C (2020) An experimental and numerical study on a multi-robot source localization method independent of airflow information in dynamic indoor environments. Sustain Cities Soc 53:101897","journal-title":"Sustain Cities Soc"},{"issue":"7126","key":"11329_CR24","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1038\/nature05464","volume":"445","author":"M Vergassola","year":"2007","unstructured":"Vergassola M, Villermaux E, Shraiman BI (2007) \u2018Infotaxis\u2019 as a strategy for searching without gradients. Nature 445(7126):406\u2013409","journal-title":"Nature"},{"issue":"20","key":"11329_CR25","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.1016\/j.physleta.2016.03.013","volume":"380","author":"H Hajieghrary","year":"2016","unstructured":"Hajieghrary H, Hsieh MA, Schwartz IB (2016) Multi-agent search for source localization in a turbulent medium. Phys Lett A 380(20):1698\u20131705","journal-title":"Phys Lett A"},{"issue":"12","key":"11329_CR26","first-page":"8","volume":"56","author":"J Huang","year":"2020","unstructured":"Huang J, Yuan J (2020) Autonomous location strategy of plume source in three-dimensional space using robot with active olfactory. Comput Eng Appl 56(12):8","journal-title":"Comput Eng Appl"},{"key":"11329_CR27","doi-asserted-by":"crossref","DOI":"10.1016\/j.buildenv.2019.106413","volume":"166","author":"Y Yang","year":"2019","unstructured":"Yang Y, Zhang B, Feng Q, Cai H, Jiang M, Zhou K, Li F, Liu S, Li X (2019) Towards locating time-varying indoor particle sources: development of two multi-robot olfaction methods based on whale optimization algorithm. Build Environ 166:106413","journal-title":"Build Environ"},{"issue":"2","key":"11329_CR28","volume":"65","author":"AT Khan","year":"2022","unstructured":"Khan AT, Li S, Cao X (2022) Human guided cooperative robotic agents in smart home using beetle antennae search. Sci China Inf Sci 65(2):122204","journal-title":"Sci China Inf Sci"},{"key":"11329_CR29","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","volume":"114","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, Gandomi AH, Mirjalili SZ, Saremi S, Faris H, Mirjalili SM (2017) Salp swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv Eng Softw 114:163\u2013191","journal-title":"Adv Eng Softw"},{"issue":"9","key":"11329_CR30","doi-asserted-by":"crossref","first-page":"5267","DOI":"10.1007\/s00521-019-04029-8","volume":"32","author":"AA El-Fergany","year":"2020","unstructured":"El-Fergany AA, Hasanien HM (2020) Salp swarm optimizer to solve optimal power flow comprising voltage stability analysis. Neural Comput Appl 32(9):5267\u20135283","journal-title":"Neural Comput Appl"},{"key":"11329_CR31","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.isatra.2018.09.022","volume":"84","author":"X Zhang","year":"2019","unstructured":"Zhang X, Wang J, Liu Z, Wang J (2019) Weak feature enhancement in machinery fault diagnosis using empirical wavelet transform and an improved adaptive bistable stochastic resonance. ISA Trans 84:283\u2013295","journal-title":"ISA Trans"},{"key":"11329_CR32","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106172","volume":"90","author":"V Kansal","year":"2020","unstructured":"Kansal V, Dhillon JS (2020) Emended salp swarm algorithm for multiobjective electric power dispatch problem. Appl Soft Comput 90:106172","journal-title":"Appl Soft Comput"},{"issue":"4","key":"11329_CR33","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1007\/s11390-010-9355-8","volume":"25","author":"D G\u00f6r\u00fcr","year":"2010","unstructured":"G\u00f6r\u00fcr D, Edward Rasmussen C (2010) Dirichlet process gaussian mixture models: choice of the base distribution. J Comput Sci Technol 25(4):653\u2013664","journal-title":"J Comput Sci Technol"},{"issue":"3","key":"11329_CR34","doi-asserted-by":"crossref","first-page":"478","DOI":"10.3390\/s19030478","volume":"19","author":"J Burgu\u00e9s","year":"2019","unstructured":"Burgu\u00e9s J, Hern\u00e1ndez V, Lilienthal AJ, Marco S (2019) Smelling nano aerial vehicle for gas source localization and mapping. Sensors 19(3):478","journal-title":"Sensors"},{"key":"11329_CR35","volume":"132","author":"H Zhu","year":"2020","unstructured":"Zhu H, Wang Y, Du C, Zhang Q, Wang W (2020) A novel odor source localization system based on particle filtering and information entropy. Robot Auton Syst 132:103619","journal-title":"Robot Auton Syst"},{"key":"11329_CR36","volume":"147","author":"L Wang","year":"2022","unstructured":"Wang L, Pang S (2022) Robotic odor source localization via adaptive bio-inspired navigation using fuzzy inference methods. Robot Auton Syst 147:103914","journal-title":"Robot Auton Syst"},{"key":"11329_CR37","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.buildenv.2013.07.021","volume":"70","author":"M Awadalla","year":"2013","unstructured":"Awadalla M, Lu TF, Tian ZF, Dally B, Liu Z (2013) 3D framework combining CFD and MATLAB techniques for plume source localization research. Build Environ 70:10\u201319","journal-title":"Build Environ"},{"key":"11329_CR38","doi-asserted-by":"crossref","DOI":"10.1016\/j.buildenv.2019.106228","volume":"161","author":"Q Feng","year":"2019","unstructured":"Feng Q, Zhang C, Lu J, Cai H, Chen Z, Yang Y, Li F, Li X (2019) Source localization in dynamic indoor environments with natural ventilation: an experimental study of a particle swarm optimization-based multi-robot olfaction method. Build Environ 161:106228","journal-title":"Build Environ"},{"issue":"1","key":"11329_CR39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jmp.2011.08.004","volume":"56","author":"SJ Gershman","year":"2012","unstructured":"Gershman SJ, Blei DM (2012) A tutorial on Bayesian nonparametric models. J Math Psychol 56(1):1\u201312","journal-title":"J Math Psychol"},{"issue":"3","key":"11329_CR40","doi-asserted-by":"crossref","first-page":"1146","DOI":"10.1109\/TII.2017.2768530","volume":"14","author":"Z Li","year":"2017","unstructured":"Li Z, Mihaylova LS, Isupova O, Rossi L (2017) Autonomous flame detection in videos with a Dirichlet process gaussian mixture color model. IEEE Trans Ind Inf 14(3):1146\u20131154","journal-title":"IEEE Trans Ind Inf"},{"key":"11329_CR41","volume-title":"An introduction to multivariate statistical analysis","author":"TW Anderson","year":"2003","unstructured":"Anderson TW (2003) An introduction to multivariate statistical analysis, 3rd edn. Wiley-Interscience, Hoboken","edition":"3"},{"key":"11329_CR42","doi-asserted-by":"crossref","unstructured":"Zhang B, Dundar M, Dave V, Hasan M (2019) Dirichlet process Gaussian mixture for active online name disambiguation by particle filter. In: 2019 ACM\/IEEE joint conference on digital libraries (JCDL) (IEEE), pp 269\u2013278","DOI":"10.1109\/JCDL.2019.00045"},{"key":"11329_CR43","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jweia.2013.01.001","volume":"115","author":"M Lateb","year":"2013","unstructured":"Lateb M, Masson C, Stathopoulos T, B\u00e9dard C (2013) Comparison of various types of k-$$\\varepsilon $$ models for pollutant emissions around a two-building configuration. J Wind Eng Ind Aerodyn 115:9\u201321","journal-title":"J Wind Eng Ind Aerodyn"},{"key":"11329_CR44","volume":"24","author":"PW Tien","year":"2019","unstructured":"Tien PW, Calautit JK (2019) Numerical analysis of the wind and thermal comfort in courtyards \u201cskycourts\u2019\u2019 in high rise buildings. J Build Eng 24:100735","journal-title":"J Build Eng"},{"key":"11329_CR45","doi-asserted-by":"crossref","DOI":"10.1016\/j.buildenv.2021.108560","volume":"207","author":"M Jiang","year":"2022","unstructured":"Jiang M, Liao Y, Guo X, Cai H, Jiang W, Yang Z, Li F, Liu F (2022) A comparative experimental study of two multi-robot olfaction methods: towards locating time-varying indoor pollutant sources. Build Environ 207:108560","journal-title":"Build Environ"},{"key":"11329_CR46","doi-asserted-by":"crossref","unstructured":"Miao Y, Wang Y, Zhang J (2020) New Strategies Based on Improved Fruit Fly Optimization Algorithm for Unknown Indoor Odor Source Location. In: 2020 IEEE international conference on real-time computing and robotics (RCAR) (IEEE), pp 297\u2013303","DOI":"10.1109\/RCAR49640.2020.9303036"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-023-11329-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-023-11329-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-023-11329-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,22]],"date-time":"2023-11-22T05:01:58Z","timestamp":1700629318000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-023-11329-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,1]]},"references-count":46,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["11329"],"URL":"https:\/\/doi.org\/10.1007\/s11063-023-11329-7","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,1]]},"assertion":[{"value":"9 June 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 July 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflicts of interest to this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}