{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T17:43:04Z","timestamp":1776879784303,"version":"3.51.2"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T00:00:00Z","timestamp":1601942400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T00:00:00Z","timestamp":1601942400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Major Project of Beijing Wuzi University","award":["2019XJZD11"],"award-info":[{"award-number":["2019XJZD11"]}]},{"name":"Beijing Intelligent Logistics System Collaborative Innovation Center Open Topic","award":["No.BILSCIC-2019KF-05"],"award-info":[{"award-number":["No.BILSCIC-2019KF-05"]}]},{"DOI":"10.13039\/100014717","name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2018XJQN03"],"award-info":[{"award-number":["2018XJQN03"]}],"id":[{"id":"10.13039\/100014717","id-type":"DOI","asserted-by":"publisher"}]},{"name":"General Program of Science and Technology Development Project of Beijing Municipal Education Commission of China","award":["KM201810037002"],"award-info":[{"award-number":["KM201810037002"]}]},{"name":"Grass-roots Academic Team Building Project of Beijing Wuzi University","award":["2019XJJCTD04"],"award-info":[{"award-number":["2019XJJCTD04"]}]},{"name":"Beijing Youth Top-notch Talent Plan of High-Creation Plan","award":["2017000026833ZK25"],"award-info":[{"award-number":["2017000026833ZK25"]}]},{"name":"Canal Plan-Leading Talent Project of Beijing Tongzhou District","award":["YHLB2017038"],"award-info":[{"award-number":["YHLB2017038"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61803035"],"award-info":[{"award-number":["61803035"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71831001"],"award-info":[{"award-number":["71831001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Humanities and Social Sciences Research Project of the Ministry of Education"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1007\/s13042-020-01213-4","type":"journal-article","created":{"date-parts":[[2020,10,7]],"date-time":"2020-10-07T00:02:37Z","timestamp":1602028957000},"page":"943-957","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["A hybrid many-objective competitive swarm optimization algorithm for large-scale multirobot task allocation problem"],"prefix":"10.1007","volume":"12","author":[{"given":"Fei","family":"Xue","sequence":"first","affiliation":[]},{"given":"Tingting","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Siqing","family":"You","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Hengliang","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Xi","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Juntao","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,6]]},"reference":[{"issue":"7","key":"1213_CR1","first-page":"3566","volume":"13","author":"F Xue","year":"2019","unstructured":"Xue F, Tang HL, Su QH, Liu T (2019) Task allocation of intelligent warehouse picking system based on multi-robot coalition. KSII Trans Internet Inf Syst 13(7):3566\u20133582","journal-title":"KSII Trans Internet Inf Syst"},{"issue":"3\u20134","key":"1213_CR2","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1007\/s10846-018-0783-y","volume":"94","author":"W Dai","year":"2019","unstructured":"Dai W, Lu HM, Xiao JH, Zheng ZQ (2019) Task allocation without communication based on incomplete information game theory for multi-robot systems. J Intell Robot Syst 94(3\u20134):841\u2013856","journal-title":"J Intell Robot Syst"},{"issue":"4","key":"1213_CR3","doi-asserted-by":"crossref","first-page":"3844","DOI":"10.1109\/LRA.2019.2926966","volume":"4","author":"Z Talebpour","year":"2019","unstructured":"Talebpour Z, Martinoli A (2019) Adaptive risk-based replanning for human-aware multi-robot task allocation with local perception. IEEE Robot Autom Lett 4(4):3844\u20133851","journal-title":"IEEE Robot Autom Lett"},{"issue":"2","key":"1213_CR4","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1515\/jisys-2018-0267","volume":"28","author":"H Mitiche","year":"2019","unstructured":"Mitiche H, Boughaci D, Gini M (2019) Iterated local search for time-extended multi-robot task allocation with spatio-temporal and capacity constraints. J Intell Syst 28(2):347\u2013360","journal-title":"J Intell Syst"},{"issue":"9\u201312","key":"1213_CR5","first-page":"2179","volume":"84","author":"JX Li","year":"2016","unstructured":"Li JX, Moghaddam M, Nof SY (2016) Dynamic storage assignment with product affinity and ABC classification\u2014a case study. Int J Adv Manuf Technol 84(9\u201312):2179\u20132194","journal-title":"Int J Adv Manuf Technol"},{"key":"1213_CR6","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.eswa.2018.09.001","volume":"116","author":"X Zhou","year":"2019","unstructured":"Zhou X, Wang HM, Ding B, Hu TJ, Shang SN (2019) Balanced connected task allocations for multi-robot systems: an exact flow-based integer program and an approximate tree-based genetic algorithm. Expert Syst Appl 116:10\u201320","journal-title":"Expert Syst Appl"},{"key":"1213_CR7","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.robot.2019.04.012","volume":"118","author":"XY Chen","year":"2019","unstructured":"Chen XY, Zhang P, Du GL, Li F (2019) A distributed method for dynamic multi-robot task allocation problems with critical time constraints. Robot Auton Syst 118:31\u201346","journal-title":"Robot Auton Syst"},{"key":"1213_CR8","doi-asserted-by":"crossref","first-page":"844","DOI":"10.1016\/j.proeng.2013.09.160","volume":"64","author":"T Nagarajan","year":"2013","unstructured":"Nagarajan T, Thondiyath A (2013) Heuristic based task allocation algorithm for multiple robots using agents. Proced Eng 64:844\u2013853","journal-title":"Proced Eng"},{"issue":"6","key":"1213_CR9","doi-asserted-by":"crossref","first-page":"6486","DOI":"10.1016\/j.eswa.2010.11.097","volume":"38","author":"M Elango","year":"2011","unstructured":"Elango M, Nachiappan S, Tiwari MK (2011) Balancing task allocation in multi-robot systems using-means clustering and auction based mechanisms. Expert Syst Appl 38(6):6486\u20136491","journal-title":"Expert Syst Appl"},{"key":"1213_CR10","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/380480","author":"LW Zhou","year":"2014","unstructured":"Zhou LW, Shi YY, Wang JL, Yang P (2014) A balanced heuristic mechanism for multirobot task allocation of intelligent warehouses. Math Probl Eng. https:\/\/doi.org\/10.1155\/2014\/380480","journal-title":"Math Probl Eng"},{"issue":"3","key":"1213_CR11","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1007\/s00500-014-1274-0","volume":"19","author":"C Liu","year":"2015","unstructured":"Liu C, Kroll A (2015) Memetic algorithms for optimal task allocation in multi-robot systems for inspection problems with cooperative tasks. Soft Comput 19(3):567\u2013584","journal-title":"Soft Comput"},{"issue":"3","key":"1213_CR12","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1016\/j.ejor.2016.06.063","volume":"256","author":"T Lamballais","year":"2017","unstructured":"Lamballais T, Roy D, De Koster MBM (2017) Estimating performance in a robotic mobile fulfillment system. Eur J Oper Res 256(3):976\u2013990","journal-title":"Eur J Oper Res"},{"key":"1213_CR13","doi-asserted-by":"crossref","unstructured":"Chen JP, Wang JB, Xiao QJ, Chen CX (2018) A multi-robot task allocation method based on multi-objective optimization. In: International conference on control, automation, robotics and vision, 2018: pp 1868\u20131873","DOI":"10.1109\/ICARCV.2018.8581110"},{"issue":"3","key":"1213_CR14","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1007\/s13042-018-0888-4","volume":"10","author":"ZH Cui","year":"2019","unstructured":"Cui ZH, Li FX, Zhang WS (2019) Bat algorithm with principal component analysis. Int J Mach Learn Cybern 10(3):603\u2013622","journal-title":"Int J Mach Learn Cybern"},{"issue":"21","key":"1213_CR15","doi-asserted-by":"crossref","first-page":"10681","DOI":"10.1007\/s00500-019-04004-4","volume":"23","author":"ZH Cui","year":"2019","unstructured":"Cui ZH, Zhang MQ, Wang H, Cai XJ, Zhang WS (2019) A hybrid many-objective cuckoo search algorithm. Soft Comput 23(21):10681\u201310697","journal-title":"Soft Comput"},{"issue":"10","key":"1213_CR16","first-page":"3099","volume":"11","author":"XJ Cai","year":"2019","unstructured":"Cai XJ, Zhang JJ, Liang H, Wang L, Wu QD (2019) An ensemble bat algorithm for large-scale optimization. Int J Mach Learn Cybern 11(10):3099\u20133113","journal-title":"Int J Mach Learn Cybern"},{"key":"1213_CR17","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.robot.2018.02.016","volume":"103","author":"DH Lee","year":"2018","unstructured":"Lee DH (2018) Resource-based task allocation for multi-robot systems. Robot Auton Syst 103:151\u2013161","journal-title":"Robot Auton Syst"},{"issue":"6","key":"1213_CR18","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.1109\/TRO.2018.2858292","volume":"34","author":"I Jang","year":"2018","unstructured":"Jang I, Shin HS, Tsourdos A (2018) Anonymous hedonic game for task allocation in a large-scale multiple agent system. IEEE Trans RobOT 34(6):1534\u20131548","journal-title":"IEEE Trans RobOT"},{"issue":"4","key":"1213_CR19","doi-asserted-by":"crossref","first-page":"3877","DOI":"10.1109\/JSYST.2017.2773056","volume":"12","author":"L Ren","year":"2018","unstructured":"Ren L, Yu YY, Cao ZQ, Wu ZY, Yu JZ, Zhou C, Tan M (2018) An optimal task allocation approach for large-scale multiple robotic systems with hierarchical framework and resource constraints. IEEE Syst J 12(4):3877\u20133880","journal-title":"IEEE Syst J"},{"issue":"5","key":"1213_CR20","doi-asserted-by":"crossref","first-page":"371","DOI":"10.3103\/S0146411618050097","volume":"52","author":"A Nikitenko","year":"2018","unstructured":"Nikitenko A, Lavendelis E, Ekmanis M, Rumba R (2018) Task allocation methods for homogeneous multi-robot systems: feed pushing case study. Autom Control Comput Sci 52(5):371\u2013381","journal-title":"Autom Control Comput Sci"},{"issue":"9","key":"1213_CR21","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1177\/0278364904045564","volume":"23","author":"P Brian","year":"2004","unstructured":"Brian P, Gerkey MJM (2004) A formal analysis and taxonomy of task allocation in multi-robot systems. Int J Robot Res 23(9):939\u2013954","journal-title":"Int J Robot Res"},{"issue":"21","key":"1213_CR22","doi-asserted-by":"crossref","first-page":"10003","DOI":"10.1109\/JSEN.2019.2927733","volume":"19","author":"XJ Cai","year":"2019","unstructured":"Cai XJ, Wang PH, Du L, Cui ZH, Zhang WS, Chen JJ (2019) Multi-objective 3-dimensional DV-hop localization algorithm with NSGA-II. IEEE Sens J 19(21):10003\u201310015","journal-title":"IEEE Sens J"},{"key":"1213_CR23","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.jpdc.2019.03.010","volume":"129","author":"ZH Cui","year":"2019","unstructured":"Cui ZH, Du L, Wang PH, Cai XJ, Zhang WS (2019) Malicious code detection based on CNNs and multi-objective algorithm. J Parallel Distrib Comput 129:50\u201358","journal-title":"J Parallel Distrib Comput"},{"issue":"20","key":"1213_CR24","doi-asserted-by":"publisher","first-page":"e5342","DOI":"10.1002\/cpe.5342","volume":"1","author":"JJ Zhang","year":"2019","unstructured":"Zhang JJ, Xue F, Cai XJ, Cui ZH, Chang Y, Zhang WS, Li WZ (2019) Privacy protection based on many-objective optimization algorithm. Concurr Comput Pract Exp 1(20):e5342. https:\/\/doi.org\/10.1002\/cpe.5342","journal-title":"Concurr Comput Pract Exp"},{"issue":"3","key":"1213_CR25","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1109\/TASE.2015.2438032","volume":"12","author":"LZ Luo","year":"2015","unstructured":"Luo LZ, Chakraborty N, Sycara K (2015) Distributed algorithms for multirobot task assignment with task deadline constraints. IEEE Trans Autom Sci Eng 12(3):876\u2013888","journal-title":"IEEE Trans Autom Sci Eng"},{"issue":"7","key":"1213_CR26","doi-asserted-by":"publisher","first-page":"070212","DOI":"10.1007\/s11432-018-9729-5","volume":"62","author":"ZH Cui","year":"2019","unstructured":"Cui ZH, Zhang JJ, Wang YC, Cao Y, Cai XJ, Zhang WS, Chen JJ (2019) A pigeon-inspired optimization algorithm for many-objective optimization problems. Sci China Inf Sci 62(7):070212. https:\/\/doi.org\/10.1007\/s11432-018-9729-5","journal-title":"Sci China Inf Sci"},{"issue":"5","key":"1213_CR27","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TEVC.2012.2227145","volume":"17","author":"SX Yang","year":"2013","unstructured":"Yang SX, Li MQ, Liu XH, Zheng JH (2013) A grid-based evolutionary algorithm for many-objective optimization. IEEE Trans Evol Comput 17(5):721\u2013736","journal-title":"IEEE Trans Evol Comput"},{"issue":"3","key":"1213_CR28","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1109\/TEVC.2013.2262178","volume":"18","author":"MQ Li","year":"2014","unstructured":"Li MQ, Yang SX, Liu XH (2014) Shift-based density estimation for pareto-based algorithms in many-objective optimization. IEEE Trans Evol Comput 18(3):348\u2013365","journal-title":"IEEE Trans Evol Comput"},{"key":"1213_CR29","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.swevo.2019.05.011","volume":"49","author":"ZH Cui","year":"2019","unstructured":"Cui ZH, Chang Y, Zhang JJ, Cai XJ, Zhang WS (2019) Improved NSGA-III with selection-and-elimination operator. Swarm Evol Comput 49:23\u201333","journal-title":"Swarm Evol Comput"},{"issue":"1","key":"1213_CR30","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1109\/TEVC.2016.2587808","volume":"21","author":"Y Xiang","year":"2017","unstructured":"Xiang Y, Zhou Y, Li M, Chen Z (2017) A vector angle-based evolutionary algorithm for unconstrained many-objective optimization. IEEE Trans Evol Comput 21(1):131\u2013152","journal-title":"IEEE Trans Evol Comput"},{"issue":"5","key":"1213_CR31","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1109\/TEVC.2016.2519378","volume":"20","author":"R Cheng","year":"2016","unstructured":"Cheng R, Jin YC, Olhofer M, Sendhoff B (2016) A reference vector guided evolutionary algorithm for many-objective optimization. IEEE Trans Evol Comput 20(5):773\u2013791","journal-title":"IEEE Trans Evol Comput"},{"issue":"3","key":"1213_CR32","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/TEVC.2013.2281533","volume":"18","author":"HL Liu","year":"2014","unstructured":"Liu HL, Gu FQ, Zhang QF (2014) Decomposition of a multiobjective optimization problem into a number of simple multiobjective subproblems. IEEE Trans Evol Comput 18(3):450\u2013455","journal-title":"IEEE Trans Evol Comput"},{"issue":"8","key":"1213_CR33","doi-asserted-by":"crossref","first-page":"2335","DOI":"10.1109\/TCYB.2017.2737554","volume":"48","author":"XY Cai","year":"2018","unstructured":"Cai XY, Mei ZM, Fan Z (2018) A Decomposition-based many-objective evolutionary algorithm with two types of adjustments for direction vectors. IEEE Trans Cybern 48(8):2335\u20132348","journal-title":"IEEE Trans Cybern"},{"issue":"5","key":"1213_CR34","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1109\/TEVC.2014.2373386","volume":"19","author":"K Li","year":"2015","unstructured":"Li K, Deb K, Zhang QF (2015) An evolutionary many-objective optimization algorithm based on dominance and decomposition. IEEE Trans Evol Comput 19(5):694\u2013716","journal-title":"IEEE Trans Evol Comput"},{"key":"1213_CR35","first-page":"832","volume":"3242","author":"E Zitzler","year":"2004","unstructured":"Zitzler E, K\u00fcnzli S (2004) Indicator-based selection in multiobjective search. Parallel Probl Solv Nat PPSN VIII 3242:832\u2013842","journal-title":"Parallel Probl Solv Nat PPSN VIII"},{"issue":"1","key":"1213_CR36","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1162\/EVCO_a_00009","volume":"19","author":"J Bader","year":"2011","unstructured":"Bader J, Zitzler E (2011) HypE: an algorithm for fast hypervolume-based many-objective optimization. Evol Comput 19(1):45\u201376","journal-title":"Evol Comput"},{"key":"1213_CR37","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2906383","author":"Y Tian","year":"2019","unstructured":"Tian Y, Zheng XT, Zhang XY, Jin YC (2019) Efficient large-scale multiobjective optimization based on a competitive swarm optimizer. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2019.2906383","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"1213_CR38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1504\/IJCSM.2019.097642","volume":"10","author":"L Galu\u00e9","year":"2019","unstructured":"Galu\u00e9 L, Al-Zamel A, Kalla SL (2019) Further results on the generalised hypergeometric matrix functions. Int J Comput Sci Math 10(1):1\u201310","journal-title":"Int J Comput Sci Math"},{"key":"1213_CR39","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1016\/j.asoc.2017.08.024","volume":"61","author":"C He","year":"2017","unstructured":"He C, Tian Y, Jin YC, Zhang XY, Pan LQ (2017) A radial space division based evolutionary algorithm for many-objective optimization. Appl Soft Comput 61:603\u2013621","journal-title":"Appl Soft Comput"},{"issue":"3","key":"1213_CR40","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1504\/IJCSM.2019.10022409","volume":"10","author":"HF Liu","year":"2019","unstructured":"Liu HF, Li JL, Zhang KW, Yang DH (2019) Theoretical analysis of the magnetic field and eddy current within a rectangular giant magnetostrictive material plate. Int J Comput Sci Math 10(3):248\u2013260","journal-title":"Int J Comput Sci Math"},{"issue":"1","key":"1213_CR41","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1504\/IJCSM.2019.097637","volume":"10","author":"H Azari","year":"2019","unstructured":"Azari H, Moradipour M (2019) Using kernel-based collocation methods to solve a delay partial differential equation with application to finance. Int J Comput Sci Math 10(1):105\u2013114","journal-title":"Int J Comput Sci Math"},{"issue":"4","key":"1213_CR42","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1504\/IJBIC.2018.092808","volume":"11","author":"Y Cao","year":"2018","unstructured":"Cao Y, Ding ZM, Xue F, Rong XT (2018) An improved twin support vector machine based on multi-objective cuckoo search for software defect prediction. Int J Bio-Inspired Comput 11(4):282\u2013291","journal-title":"Int J Bio-Inspired Comput"},{"issue":"1","key":"1213_CR43","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1109\/TEVC.2016.2631279","volume":"22","author":"QZ Lin","year":"2018","unstructured":"Lin QZ, Liu SB, Zhu QL, Tang CY, Song RZ, Chen JY, Coello CAC, Wong KC, Zhang J (2018) Particle swarm optimization with a balanceable fitness estimation for many-objective optimization problems. IEEE Trans Evol Comput 22(1):32\u201346","journal-title":"IEEE Trans Evol Comput"},{"key":"1213_CR44","doi-asserted-by":"publisher","unstructured":"Nebro AJ, Durillo JJ, Garcia-Nieto J, Coello CAC, Luna F, Alba E (2009) SMPSO: a new PSO-based metaheuristic for multi-objective optimization. In: IEEE symposium on computational intelligence in multi-criteria decision-making (MCDM), 2009, pp 66\u201373. https:\/\/doi.org\/10.1109\/MCDM.2009.4938830","DOI":"10.1109\/MCDM.2009.4938830"},{"key":"1213_CR45","doi-asserted-by":"publisher","unstructured":"Walha C, Bezine H, Alimi AM (2013) A multi-objective particle swarm optimization approach to robotic grasping. In: International conference on individual and collective behaviors in robotics (ICBR). 2013. Sousse, pp 120\u2013125. https:\/\/doi.org\/10.1109\/ICBR.2013.6729267","DOI":"10.1109\/ICBR.2013.6729267"},{"issue":"3","key":"1213_CR46","doi-asserted-by":"crossref","first-page":"732","DOI":"10.1016\/j.ejor.2015.06.071","volume":"247","author":"QZ Lin","year":"2015","unstructured":"Lin QZ, Li JQ, Du ZH, Chen JY, Ming Z (2015) A novel multi-objective particle swarm optimization with multiple search strategies. Eur J Oper Res 247(3):732\u2013744","journal-title":"Eur J Oper Res"},{"issue":"1","key":"1213_CR47","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1162\/EVCO_a_00104","volume":"22","author":"N Al Moubayed","year":"2014","unstructured":"Al Moubayed N, Petrovski A, McCall J (2014) D2MOPSO: MOPSO based on decomposition and dominance with archiving using crowding distance in objective and solution spaces. Evol Comput 22(1):47\u201377","journal-title":"Evol Comput"},{"issue":"2","key":"1213_CR48","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s13042-017-0739-8","volume":"9","author":"XJ Cai","year":"2018","unstructured":"Cai XJ, Wang H, Cui ZH, Cai JH, Xue Y, Wang L (2018) Bat algorithm with triangle-flipping strategy for numerical optimization. Int J Mach Learn Cybern 9(2):199\u2013215","journal-title":"Int J Mach Learn Cybern"},{"key":"1213_CR49","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.jpdc.2017.12.014","volume":"132","author":"ZH Cui","year":"2019","unstructured":"Cui ZH, Cao Y, Cai XJ, Cai JH, Chen JJ (2019) Optimal LEACH protocol with modified bat algorithm for big data sensing systems in Internet of Things. J Parallel Distrib Comput 132:217\u2013229. https:\/\/doi.org\/10.1016\/j.jpdc.2017.12.014","journal-title":"J Parallel Distrib Comput"},{"issue":"2","key":"1213_CR50","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1504\/IJBIC.2019.098407","volume":"13","author":"GF Zhang","year":"2019","unstructured":"Zhang GF, Chen Y, Li Y, Yu HN, Hu HS, Wu SM (2019) Intelligent swarm firefly algorithm for the prediction of China\u2019s national electricity consumption. Int J Bio-Inspired Comput 13(2):111\u2013118","journal-title":"Int J Bio-Inspired Comput"},{"issue":"4","key":"1213_CR51","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1504\/IJBIC.2016.078666","volume":"8","author":"XJ Cai","year":"2016","unstructured":"Cai XJ, Gao XZ, Xue Y (2016) Improved bat algorithm with optimal forage strategy and random disturbance strategy. Int J Bio-inspired Comput 8(4):205\u2013214","journal-title":"Int J Bio-inspired Comput"},{"issue":"2","key":"1213_CR52","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1109\/TCYB.2014.2322602","volume":"45","author":"R Cheng","year":"2014","unstructured":"Cheng R, Jin YC (2014) A competitive swarm optimizer for large scale optimization. IEEE Trans Cybern 45(2):191\u2013204","journal-title":"IEEE Trans Cybern"},{"key":"1213_CR53","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.ins.2015.10.010","volume":"330","author":"GQ Zeng","year":"2016","unstructured":"Zeng GQ, Cheng J, Li LM, Chen MR, Wu L, Dai YX, Zheng CW (2016) An improved multi-objective population-based extremal optimization algorithm with polynomial mutation. Inf Sci 330:49\u201373","journal-title":"Inf Sci"},{"key":"1213_CR54","first-page":"455","volume-title":"Self-controlling dominance area of solutions in evolutionary many-objective optimization. Simulated evolution and learning","author":"H Sato","year":"2010","unstructured":"Sato H, Aguirre HE, Tanaka K, Tanaka HSEA (2010) Self-controlling dominance area of solutions in evolutionary many-objective optimization. Simulated evolution and learning. Springer, Berlin, pp 455\u2013465"},{"key":"1213_CR55","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/978-3-540-70928-2_5","volume-title":"Controlling dominance area of solutions and its impact on the performance of MOEAs. Evolutionary multi-criterion optimization","author":"H Sato","year":"2007","unstructured":"Sato H, Aguirre HE, Tanaka K, Tanaka HSEA (2007) Controlling dominance area of solutions and its impact on the performance of MOEAs. Evolutionary multi-criterion optimization. Springer, Berlin, pp 5\u201320"},{"issue":"6","key":"1213_CR56","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1504\/IJCSM.2018.096327","volume":"9","author":"Y Niu","year":"2018","unstructured":"Niu Y, Tian ZY, Zhang MQ, Cai XJ, Li JW (2018) Adaptive two-SVM multi-objective cuckoo search algorithm for software defect prediction. Int J Comput Sci Math 9(6):547\u2013554","journal-title":"Int J Comput Sci Math"},{"issue":"4","key":"1213_CR57","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1109\/TEVC.2013.2281535","volume":"18","author":"K Deb","year":"2014","unstructured":"Deb K, Jain H (2014) 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"},{"key":"1213_CR58","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.asoc.2016.11.009","volume":"50","author":"YP Liu","year":"2017","unstructured":"Liu YP, Gong DW, Sun XY, Zhang Y (2017) Many-objective evolutionary optimization based on reference points. Appl Soft Comput 50:344\u2013355","journal-title":"Appl Soft Comput"},{"issue":"2","key":"1213_CR59","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1504\/IJBIC.2019.101639","volume":"14","author":"XB Meng","year":"2019","unstructured":"Meng XB, Li HX, Gao XZ (2019) An adaptive reinforcement learning-based bat algorithm for structural design problems. Int J Bio-Inspired Comput 14(2):114\u2013124","journal-title":"Int J Bio-Inspired Comput"},{"issue":"5","key":"1213_CR60","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1504\/IJCSM.2019.103679","volume":"10","author":"A Dey","year":"2019","unstructured":"Dey A, Mondal S, Pal T (2019) Robust and minimum spanning tree in fuzzy environment. Int J Comput Sci Math 10(5):513\u2013524","journal-title":"Int J Comput Sci Math"},{"issue":"4","key":"1213_CR61","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1109\/TEVC.2012.2204264","volume":"17","author":"R Wang","year":"2013","unstructured":"Wang R, Purshouse RC, Fleming PJ (2013) Preference-inspired coevolutionary algorithms for many-objective optimization. IEEE Trans Evol Comput 17(4):474\u2013494","journal-title":"IEEE Trans Evol Comput"},{"issue":"2","key":"1213_CR62","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1109\/TEVC.2018.2791283","volume":"23","author":"YA Sun","year":"2019","unstructured":"Sun YA, Yen GG, Zhang Y (2019) IGD indicator-based evolutionary algorithm for many-objective optimization problems. IEEE Trans Evol Comput 23(2):173\u2013187","journal-title":"IEEE Trans Evol Comput"},{"issue":"1","key":"1213_CR63","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1504\/IJBIC.2019.10022705","volume":"14","author":"XJ Cai","year":"2019","unstructured":"Cai XJ, Zhang MQ, Wang H, Xu M, Chen JJ, Zhang WS (2019) Analyses of inverted generational distance for many-objective optimisation algorithms. Int J Bio-Inspired Comput 14(1):62\u201368","journal-title":"Int J Bio-Inspired Comput"},{"issue":"4","key":"1213_CR64","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1109\/4235.797969","volume":"3","author":"E Zitzler","year":"1999","unstructured":"Zitzler E, Thiele L (1999) Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Trans Evol Comput 3(4):257\u2013271","journal-title":"IEEE Trans Evol Comput"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-020-01213-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-020-01213-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-020-01213-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,6]],"date-time":"2021-10-06T08:38:07Z","timestamp":1633509487000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-020-01213-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,6]]},"references-count":64,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,4]]}},"alternative-id":["1213"],"URL":"https:\/\/doi.org\/10.1007\/s13042-020-01213-4","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10,6]]},"assertion":[{"value":"16 April 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 September 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 October 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}