{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T00:38:44Z","timestamp":1776818324430,"version":"3.51.2"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2022,2,10]],"date-time":"2022-02-10T00:00:00Z","timestamp":1644451200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,2,10]],"date-time":"2022-02-10T00:00:00Z","timestamp":1644451200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"LiaoNing Revitalization Talents Prograrn","award":["XLYC2007091"],"award-info":[{"award-number":["XLYC2007091"]}]},{"name":"Joint open fund project of State Key Laboratory of Coal Mine Safety Technology of Liaoning Province","award":["2020-KF-13-04"],"award-info":[{"award-number":["2020-KF-13-04"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s10489-021-02977-0","type":"journal-article","created":{"date-parts":[[2022,2,10]],"date-time":"2022-02-10T22:09:27Z","timestamp":1644530967000},"page":"12668-12683","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Many-objective optimization based path planning of multiple UAVs in oilfield inspection"],"prefix":"10.1007","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9759-0072","authenticated-orcid":false,"given":"Kun","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinxin","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fawei","family":"Ge","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,2,10]]},"reference":[{"key":"2977_CR1","doi-asserted-by":"crossref","unstructured":"Shukla A, Xiaoqian H, Karki H (2016) Autonomous tracking of oil and gas pipelines by an unmanned aerial vehicle. In: 2016 IEEE 59th international midwest symposium on circuits and systems (MWSCAS). IEEE, pp 1\u20134","DOI":"10.1109\/MWSCAS.2016.7870114"},{"key":"2977_CR2","doi-asserted-by":"publisher","first-page":"1343","DOI":"10.1016\/j.promfg.2015.07.290","volume":"3","author":"J Cho","year":"2015","unstructured":"Cho J, Lim G, Biobaku T, Kim S, Parsaei H (2015) Safety and security management with unmanned aerial vehicle (UAV) in oil and gas industry. Procedia Manufacturing 3:1343\u20131349","journal-title":"Procedia Manufacturing"},{"issue":"9","key":"2977_CR3","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1007\/s12517-017-2989-x","volume":"10","author":"C Gmez","year":"2017","unstructured":"Gmez C, Green DR (2017) Small unmanned airborne systems to support oil and gas pipeline monitoring and mapping. Arab J Geosci 10(9):202\u2013219","journal-title":"Arab J Geosci"},{"issue":"5","key":"2977_CR4","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1007\/s12182-019-0305-y","volume":"16","author":"Y Yan","year":"2019","unstructured":"Yan Y, Liang Y, Zhang H, Zhang W, Feng H, Wang B, Liao Q (2019) A two-stage optimization method for unmanned aerial vehicle inspection of an oil and gas pipeline network. Pet Sci 16(5):458\u2013468","journal-title":"Pet Sci"},{"issue":"6","key":"2977_CR5","doi-asserted-by":"publisher","first-page":"1407","DOI":"10.1080\/00207721.2014.929191","volume":"47","author":"Y Chen","year":"2016","unstructured":"Chen Y, Luo G, Mei Y, Yu J, Su X (2016) UAV Path planning using artificial potential field method updated by optimal control theory. Int J Syst Sci 47(6):1407\u20131420","journal-title":"Int J Syst Sci"},{"issue":"1","key":"2977_CR6","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1016\/j.cja.2014.12.031","volume":"28","author":"H Wang","year":"2015","unstructured":"Wang H, Wentao L, Peng Y, Xiao L, Chang L (2015) Three-dimensional path planning for unmanned aerial vehicle based on interfered fluid dynamical system. Chin J Aeronaut 28(1):229\u2013239","journal-title":"Chin J Aeronaut"},{"issue":"10","key":"2977_CR7","doi-asserted-by":"publisher","first-page":"4149","DOI":"10.1007\/s00500-015-1750-1","volume":"20","author":"A Ammar","year":"2016","unstructured":"Ammar A, Bennaceur H, Chaari I, Koubaa A, Alajlan M (2016) Relaxed Dijkstra and A* with linear complexity for robot path planning problems in large-scale grid environments. Soft Comput 20 (10):4149\u20134171","journal-title":"Soft Comput"},{"issue":"C","key":"2977_CR8","first-page":"257","volume":"170","author":"Z Lei","year":"2015","unstructured":"Lei Z, Qi G, Xin X, Hao F (2015) A hierarchical path planning approach based on a* and least-squares policy iteration for mobile robots. Neurocomputing 170(C):257\u2013266","journal-title":"Neurocomputing"},{"issue":"01","key":"2977_CR9","doi-asserted-by":"publisher","first-page":"1760008","DOI":"10.1142\/S0218213017600089","volume":"26","author":"JD Silva Arantes","year":"2017","unstructured":"Silva Arantes JD, Silva Arantes MD, Motta Toledo CF, J\u00fanior OT, Williams BC (2017) Heuristic and genetic algorithm approaches for UAV path planning under critical situation. Int J Artif Intell Tools 26(01):1760008","journal-title":"Int J Artif Intell Tools"},{"key":"2977_CR10","first-page":"1","volume":"2013","author":"Y Ma","year":"2013","unstructured":"Ma Y, Zamirian M, Yang Y, Xu Y, Zhang J (2013) Path planning for mobile objects in four-dimension based on particle swarm optimization method with penalty function. Math Probl Eng 2013:1\u20139","journal-title":"Math Probl Eng"},{"issue":"1","key":"2977_CR11","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1109\/TCBB.2015.2443789","volume":"14","author":"B Zhang","year":"2017","unstructured":"Zhang B, Duan H (2017) Three-dimensional path planning for uninhabited combat aerial vehicle based on predator-prey pigeon-inspired optimization in dynamic environment. IEEE\/ACM Trans Computat Biol Bioinform 14(1):97\u2013107","journal-title":"IEEE\/ACM Trans Computat Biol Bioinform"},{"key":"2977_CR12","doi-asserted-by":"publisher","first-page":"2800","DOI":"10.1007\/s10489-020-01650-2","volume":"50","author":"F Ge","year":"2020","unstructured":"Ge F, Li K, Han Y, Xu W, Wang Y (2020) Path planning of uav for oilfield inspections in a three-dimensional dynamic environment with moving obstacles based on an improved pigeon-inspired optimization algorithm. Appl Intell 50:2800\u20132817","journal-title":"Appl Intell"},{"issue":"8","key":"2977_CR13","doi-asserted-by":"publisher","first-page":"1104","DOI":"10.1016\/j.simpat.2009.10.006","volume":"18","author":"H Duan","year":"2010","unstructured":"Duan H, Yu Y, Zhang X, Shan S (2010) Three-dimension path planning for UCAV using hybrid meta-heuristic ACO-DE algorithm. Simul Model Pract Theory 18(8):1104\u20131115","journal-title":"Simul Model Pract Theory"},{"key":"2977_CR14","doi-asserted-by":"publisher","first-page":"106150","DOI":"10.1016\/j.asoc.2020.106150","volume":"90","author":"Y Wang","year":"2020","unstructured":"Wang Y, Li K, Han Y, Ge F, Xu W, Liu L (2020) Tracking a dynamic invading target by uav in oilfield inspection via an improved bat algorithm. Appl Soft Comput 90:106150","journal-title":"Appl Soft Comput"},{"issue":"6","key":"2977_CR15","doi-asserted-by":"publisher","first-page":"2201","DOI":"10.1007\/s10489-018-1384-y","volume":"49","author":"RK Dewangan","year":"2019","unstructured":"Dewangan RK, Shukla A, Godfrey WW (2019) Three dimensional path planning using grey wolf optimizer for UAVs. Appl Intell 49(6):2201\u20132217","journal-title":"Appl Intell"},{"key":"2977_CR16","doi-asserted-by":"crossref","unstructured":"Ge F, Li K, Xu W, Wang Y (2019) Path planning of uav for oilfield inspection based on improved grey wolf optimization algorithm. In: 2019 Chinese Control And Decision Conference (CCDC), pp 3666\u20133671","DOI":"10.1109\/CCDC.2019.8833455"},{"key":"2977_CR17","doi-asserted-by":"crossref","unstructured":"Han Y, Li K, Ge F, Wang Y, Xu W (2021) Online fault diagnosis for sucker rod pumping well by optimized density peak clustering. ISA Trans 1\u201313","DOI":"10.1016\/j.isatra.2021.03.022"},{"issue":"6","key":"2977_CR18","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"Q Zhang","year":"2007","unstructured":"Zhang Q, Li H (2007) MOEA\/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Transact Evolut Comput 11(6):712\u2013731","journal-title":"IEEE Transact Evolut Comput"},{"issue":"2","key":"2977_CR19","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan T, fast A (2002) elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evolution Comput 6(2):182\u2013197","journal-title":"IEEE Trans Evolution Comput"},{"key":"2977_CR20","unstructured":"Zitzler E, Laumanns M, Thiele L (2001) SPEA2: Improving The strength pareto evolutionary algorithm. In: TIK-Report, 103 Computer Engineering and Networks Laboratory (TIK), Swiss Federa INstitute ofTechnology (ETH), Zurich"},{"key":"2977_CR21","doi-asserted-by":"crossref","unstructured":"Zitzler E, K\u00fcnzli S (2004) Indicator-based selection in multiobjective search. In: International conference on parallel problem solving from nature, PPSN, vol VIII. Birmingham, UK, pp 832\u2013842","DOI":"10.1007\/978-3-540-30217-9_84"},{"issue":"1","key":"2977_CR22","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1109\/TEVC.2016.2634625","volume":"22","author":"D Gong","year":"2016","unstructured":"Gong D, Sun J, Miao Z (2016) A set-based genetic algorithm for interval many-objective optimization problems. IEEE Trans Evol Comput 22(1):47\u201360","journal-title":"IEEE Trans Evol Comput"},{"issue":"19","key":"2977_CR23","doi-asserted-by":"publisher","first-page":"4124","DOI":"10.1016\/j.ins.2011.05.011","volume":"181","author":"D-W Gong","year":"2011","unstructured":"Gong D-W, Qin N-N, Sun X-Y (2011) Evolutionary algorithms for optimization problems with uncertainties and hybrid indices. Inf Sci 181(19):4124\u20134138","journal-title":"Inf Sci"},{"issue":"1","key":"2977_CR24","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.cie.2011.09.003","volume":"62","author":"L Sahoo","year":"2012","unstructured":"Sahoo L, Bhunia AK, Kapur PK (2012) Genetic algorithm based multi-objective reliability optimization in interval environment. Comput Indust Eng 62(1):152\u2013160","journal-title":"Comput Indust Eng"},{"key":"2977_CR25","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.cie.2014.05.014","volume":"74","author":"AK Bhunia","year":"2014","unstructured":"Bhunia AK, Samanta SS (2014) A study of interval metric and its application in multi-objective optimization with interval objectives. Comput Indust Eng 74:169\u2013178","journal-title":"Comput Indust Eng"},{"key":"2977_CR26","doi-asserted-by":"crossref","unstructured":"Limbourg P, ES Aponte D (2005) An optimization algorithm for imprecise multi-objective problem functions. In: 2005 IEEE Congress on Evolutionary Computation, vol 1. IEEE, pp 459\u2013466","DOI":"10.1109\/CEC.2005.1554719"},{"key":"2977_CR27","doi-asserted-by":"crossref","unstructured":"Gong D-W, Qin N-N, Sun X-Y (2010) Evolutionary algorithms for multi-objective optimization problems with interval parameters. In: 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA). IEEE, pp 411\u2013420","DOI":"10.1109\/BICTA.2010.5645160"},{"issue":"2","key":"2977_CR28","first-page":"269","volume":"22","author":"J Sun","year":"2013","unstructured":"Sun J, Gong D, Sun X (2013) Solving interval multi-objective optimization problems using evolutionary algorithms with lower limit of possibility degree. Chin J Electron 22(2):269\u2013272","journal-title":"Chin J Electron"},{"key":"2977_CR29","first-page":"1","volume":"2013","author":"H-Z Li","year":"2013","unstructured":"Li H-Z, Guo S (2013) External economies evaluation of wind power engineering project based on analytic hierarchy process and matter-element extension model. Math Probl Eng 2013:1\u201311","journal-title":"Math Probl Eng"},{"key":"2977_CR30","doi-asserted-by":"crossref","unstructured":"Zhu Q-D, Ma Y (2019) A design of T-foil and trim tab for fast catamaran based on NSGA-II. J Hydrodyn 1\u201313","DOI":"10.1155\/2019\/4868473"},{"key":"2977_CR31","unstructured":"Su C, Liu Y (2019) Multi-objective imperfect preventive maintenance optimisation with NSGA-II. Int J Prod Res 1\u201317"},{"issue":"10","key":"2977_CR32","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1080\/15325008.2018.1488302","volume":"46","author":"KO Alawode","year":"2018","unstructured":"Alawode KO, Adegboyega GA, Abimbola Muhideen J (2018) NSGA-II\/EDA Hybrid evolutionary algorithm for solving multi-objective economic\/emission dispatch problem. Elect Power Comp Syst 46 (10):1160\u20131172","journal-title":"Elect Power Comp Syst"},{"issue":"4","key":"2977_CR33","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1109\/TEVC.2013.2281535","volume":"18","author":"K Deb","year":"2013","unstructured":"Deb K, Jain H (2013) An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part i: solving problems with box constraints. IEEE Trans Evol Comput 18(4):577\u2013601","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"2977_CR34","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1186\/s13638-019-1456-7","volume":"2019","author":"F Ruan","year":"2019","unstructured":"Ruan F, Gu R, Huang T, Xue S (2019) A big data placement method using NSGA-III in meteorological cloud platform. EURASIP J Wirel Commun Netw 2019(1):143","journal-title":"EURASIP J Wirel Commun Netw"},{"key":"2977_CR35","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1016\/j.energy.2017.01.010","volume":"121","author":"F Chen","year":"2017","unstructured":"Chen F, Zhou J, Wang C, Li C, Lu P (2017) A modified gravitational search algorithm based on a non-dominated sorting genetic approach for hydro-thermal-wind economic emission dispatching. Energy 121:276\u2013291","journal-title":"Energy"},{"issue":"1","key":"2977_CR36","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1007\/s10489-017-0958-4","volume":"48","author":"X Bi","year":"2018","unstructured":"Bi X, Wang C (2018) A niche-elimination operation based NSGA-III algorithm for many-objective optimization. Appl Intell 48(1):118\u2013141","journal-title":"Appl Intell"},{"key":"2977_CR37","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.knosys.2016.10.030","volume":"116","author":"Y Zhu","year":"2017","unstructured":"Zhu Y, Liang J, Chen J, Ming Z (2017) An improved, NSGA-III algorithm for feature selection used in intrusion detection. Knowl-Based Syst 116:74\u201385","journal-title":"Knowl-Based Syst"},{"issue":"4","key":"2977_CR38","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1007\/s12293-017-0240-7","volume":"9","author":"X Bi","year":"2017","unstructured":"Bi X, Wang C (2017) An improved, NSGA-III algorithm based on elimination operator for many-objective optimization. Memetic Computing 9(4):361\u2013383","journal-title":"Memetic Computing"},{"issue":"8","key":"2977_CR39","doi-asserted-by":"publisher","first-page":"2085","DOI":"10.1109\/TITS.2016.2630718","volume":"18","author":"B Ji","year":"2016","unstructured":"Ji B, Yuan X, Yuan Y (2016) Orthogonal design-based, NSGA-III for the optimal lockage co-scheduling problem. IEEE Trans Intell Transp Syst 18(8):2085\u20132095","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"2977_CR40","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1016\/j.ins.2018.06.055","volume":"509","author":"C Hu","year":"2020","unstructured":"Hu C, Dai L, Yan X, Gong W, Liu X, Wang L (2020) Modified, NSGA-III for sensor placement in water distribution system. Inf Sci 509:488\u2013500","journal-title":"Inf Sci"},{"issue":"15","key":"2977_CR41","doi-asserted-by":"publisher","first-page":"4269","DOI":"10.1007\/s00500-016-2192-0","volume":"21","author":"X Bi","year":"2017","unstructured":"Bi X, Wang C (2017) An improved, NSGA-III algorithm based on objective space decomposition for many-objective optimization. Soft Comput 21(15):4269\u20134296","journal-title":"Soft Comput"},{"issue":"14","key":"2977_CR42","doi-asserted-by":"publisher","first-page":"4469","DOI":"10.1007\/s11269-017-1759-6","volume":"31","author":"C Chen","year":"2017","unstructured":"Chen C, Yuan Y, Yuan X (2017) An improved, NSGA-III algorithm for reservoir flood control operation. Water resources management 31(14):4469\u20134483","journal-title":"Water resources management"},{"key":"2977_CR43","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.knosys.2011.07.001","volume":"26","author":"W-T Pan","year":"2012","unstructured":"Pan W-T (2012) A new fruit fly optimization algorithm: taking the financial distress model as an example. Knowl-Based Syst 26:69\u201374","journal-title":"Knowl-Based Syst"},{"key":"2977_CR44","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.knosys.2014.08.022","volume":"72","author":"J-Q Li","year":"2014","unstructured":"Li J-Q, Pan Q-K, Mao K, Suganthan PN (2014) Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm. Knowl-Based Syst 72:28\u201336","journal-title":"Knowl-Based Syst"},{"key":"2977_CR45","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1155\/2015\/731494","volume":"2015","author":"Q Ye","year":"2015","unstructured":"Ye Q, Pan H, Liu C (2015) Enhancement of ELM by clustering discrimination manifold regularization and multiobjective FOA for semisupervised classification. Comput Intell Neurosci 2015:51\u201360","journal-title":"Comput Intell Neurosci"},{"key":"2977_CR46","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.knosys.2016.07.023","volume":"110","author":"L Wu","year":"2016","unstructured":"Wu L, Cao G (2016) Seasonal SVR with FOA algorithm for single-step and multi-step ahead forecasting in monthly inbound tourist flow. Knowl-Based Syst 110:157\u2013166","journal-title":"Knowl-Based Syst"},{"key":"2977_CR47","doi-asserted-by":"publisher","first-page":"138364","DOI":"10.1109\/ACCESS.2019.2943026","volume":"7","author":"Y Han","year":"2019","unstructured":"Han Y, Jing Y, Li K, Dimirovski GM (2019) Network traffic prediction using variational mode decomposition and multi-reservoirs echo state network. IEEE Access 7:138364\u2013138377","journal-title":"IEEE Access"},{"key":"2977_CR48","doi-asserted-by":"publisher","first-page":"103807","DOI":"10.1016\/j.engappai.2020.103807","volume":"94","author":"K Li","year":"2020","unstructured":"Li K, Ge F, Han Y, Wang Y, Xu W (2020) Path planning of multiple uavs with online changing tasks by an orpfoa algorithm. Eng Appl Artif Intell 94:103807","journal-title":"Eng Appl Artif Intell"},{"issue":"4","key":"2977_CR49","doi-asserted-by":"publisher","first-page":"770","DOI":"10.1177\/0142331219878959","volume":"42","author":"K Li","year":"2020","unstructured":"Li K, Xu W, Han Y, Ge F, Wang Y (2020) Soft sensor for the moisture content of crude oil based on multi-kernel gaussian process regression optimized by an adaptive variable population fruit fly optimization algorithm. Trans Inst Meas Control 42(4):770\u2013785","journal-title":"Trans Inst Meas Control"},{"issue":"7","key":"2977_CR50","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1177\/0142331219888366","volume":"42","author":"Y Han","year":"2020","unstructured":"Han Y, Jing Y, Dimirovski GM (2020) An improved fruit fly algorithm-unscented kalman filter-echo state network method for time series prediction of the network traffic data with noises. Trans Inst Meas Control 42(7):1281\u20131293","journal-title":"Trans Inst Meas Control"},{"key":"2977_CR51","doi-asserted-by":"crossref","unstructured":"Ishibuchi H, Tsukamoto N, Nojima Y (2008) Evolutionary many-objective optimization: a short review. In: 2008 IEEE congress on evolutionary computation, IEEE World Congress on Computational Intelligence. IEEE, pp 2419\u20132426","DOI":"10.1109\/CEC.2008.4631121"},{"issue":"3","key":"2977_CR52","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1109\/TEVC.2017.2725902","volume":"22","author":"H-L Liu","year":"2017","unstructured":"Liu H-L, Chen L, Zhang Q, Deb K (2017) Adaptively allocating search effort in challenging many-objective optimization problems. IEEE Trans Evol Comput 22(3):433\u2013448","journal-title":"IEEE Trans Evol Comput"},{"key":"2977_CR53","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1016\/j.ins.2018.06.061","volume":"509","author":"H Qiu","year":"2020","unstructured":"Qiu H, Duan H (2020) A multi-objective pigeon-inspired optimization approach to uav distributed flocking among obstacles. Inf Sci 509:515\u2013529","journal-title":"Inf Sci"},{"issue":"5","key":"2977_CR54","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1109\/TEVC.2018.2883888","volume":"23","author":"M Villalobos-Cid","year":"2018","unstructured":"Villalobos-Cid M, Dorn M, Ligabue-Braun R, Inostroza-Ponta M (2018) A memetic algorithm based on an nsga-ii scheme for phylogenetic tree inference. IEEE Trans Evol Comput 23(5):776\u2013787","journal-title":"IEEE Trans Evol Comput"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02977-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-021-02977-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02977-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,25]],"date-time":"2022-10-25T18:21:05Z","timestamp":1666722065000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-021-02977-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,10]]},"references-count":54,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["2977"],"URL":"https:\/\/doi.org\/10.1007\/s10489-021-02977-0","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,10]]},"assertion":[{"value":"4 November 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 February 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}