{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T04:27:33Z","timestamp":1787113653082,"version":"build-2736575974"},"reference-count":54,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Swarm and Evolutionary Computation"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.swevo.2026.102470","type":"journal-article","created":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T16:20:16Z","timestamp":1784737216000},"page":"102470","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Pareto evolutionary algorithm based on data mining for a kind of task assignment problem considering agent reliability"],"prefix":"10.1016","volume":"107","author":[{"given":"Zuocheng","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1004-590X","authenticated-orcid":false,"given":"Chang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rongjuan","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junqing","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.swevo.2026.102470_bib0001","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1109\/TSE.1977.233840","article-title":"Multiprocessor scheduling with the aid of network flow algorithms","volume":"SE-3","author":"Stone","year":"1977","journal-title":"IEEE Trans. Softw. Eng."},{"issue":"2","key":"10.1016\/j.swevo.2026.102470_bib0002","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1109\/TPDS.2015.2407900","article-title":"A survey of task allocation and load balancing in distributed systems","volume":"27","author":"Jiang","year":"2015","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"10.1016\/j.swevo.2026.102470_bib0003","series-title":"The 6th International Conference on Modeling, Simulation, and Applied Optimization","first-page":"1","article-title":"A harmony search algorithm for hybrid flow shop scheduling with multiprocessor task problems","author":"Akkoyunlu","year":"2015"},{"key":"10.1016\/j.swevo.2026.102470_bib0004","series-title":"The 6th International Conference on Control, Robotics and Cybernetics","first-page":"62","article-title":"Multi-robot task allocation for airfield pavement detection tasks","author":"Shi","year":"2021"},{"issue":"3","key":"10.1016\/j.swevo.2026.102470_bib0005","doi-asserted-by":"crossref","first-page":"931","DOI":"10.1109\/TR.2019.2923770","article-title":"Slow replica and shared protection: energy-efficient and reliable task assignment in cloud data centers","volume":"70","author":"Fan","year":"2019","journal-title":"IEEE Trans. Reliab."},{"issue":"C","key":"10.1016\/j.swevo.2026.102470_bib0006","article-title":"Task-driven multi-UAV path planning via three-stage optimization strategy for urban region surveillance","volume":"68","author":"Fei","year":"2025","journal-title":"Adv. Eng. Inform."},{"key":"10.1016\/j.swevo.2026.102470_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.129535","article-title":"Dynamic subtask representation and assignment in cooperative multi-agent tasks","volume":"628","author":"You","year":"2025","journal-title":"Neurocomputing"},{"issue":"3","key":"10.1016\/j.swevo.2026.102470_bib0008","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/S0020-0190(97)00150-6","article-title":"The computational complexity of the reliability problem on distributed systems","volume":"64","author":"Lin","year":"1997","journal-title":"Inf. Process. Lett."},{"issue":"22","key":"10.1016\/j.swevo.2026.102470_bib0009","doi-asserted-by":"crossref","first-page":"4241","DOI":"10.3390\/math10224241","article-title":"A unified multi-objective optimization framework for UAV cooperative task assignment and reassignment","volume":"10","author":"Gao","year":"2022","journal-title":"Mathematics"},{"issue":"3","key":"10.1016\/j.swevo.2026.102470_bib0010","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1002\/nem.763","article-title":"Multi-objective optimization for channel allocation in mobile computing using NSGA-II","volume":"21","author":"Vidyarthi","year":"2011","journal-title":"Int. J. Netw. Manag."},{"issue":"15","key":"10.1016\/j.swevo.2026.102470_bib0011","doi-asserted-by":"crossref","first-page":"12945","DOI":"10.1109\/JIOT.2022.3170482","article-title":"Availability-aware multiobjective task allocation algorithm for internet of things networks","volume":"9","author":"Weikert","year":"2022","journal-title":"IEEE Internet Things J."},{"issue":"7","key":"10.1016\/j.swevo.2026.102470_bib0012","article-title":"A reinforcement learning from human feedback based method for task allocation of human robot collaboration assembly considering human preference","volume":"66","author":"Wang","year":"2025","journal-title":"Adv. Eng. Inform."},{"key":"10.1016\/j.swevo.2026.102470_bib0013","article-title":"An improved nondominated sorting genetic algorithm III method for solving multiobjective weapon-target assignment part I: the value of fighter combat","author":"Li","year":"2018","journal-title":"Int. J. Aerosp. Eng."},{"key":"10.1016\/j.swevo.2026.102470_bib0014","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.127006","article-title":"Dual learning based Pareto evolutionary algorithm for a kind of multi-objective task assignment problem","volume":"276","author":"Li","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.swevo.2026.102470_bib0015","series-title":"The 12th International Conference on Computer and Information Science","first-page":"513","article-title":"Optimal task allocation for maximizing reliability in distributed real-time systems","author":"Faragardi","year":"2013"},{"issue":"11","key":"10.1016\/j.swevo.2026.102470_bib0016","doi-asserted-by":"crossref","first-page":"7468","DOI":"10.1109\/TII.2021.3051896","article-title":"Flexible worker allocation in aircraft final assembly line using multiobjective evolutionary algorithms","volume":"17","author":"Fang","year":"2021","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.swevo.2026.102470_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110282","article-title":"A decomposition-based multiobjective evolutionary algorithm using simulated annealing for the ambulance dispatching and relocation problem during COVID-19","volume":"141","author":"Hemici","year":"2023","journal-title":"Appl. Soft. Comput."},{"issue":"7","key":"10.1016\/j.swevo.2026.102470_bib0018","doi-asserted-by":"crossref","first-page":"9414","DOI":"10.1109\/TITS.2021.3120019","article-title":"A NSGA-II algorithm for task scheduling in UAV-enabled MEC system","volume":"23","author":"Zhu","year":"2021","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.swevo.2026.102470_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2025.107143","article-title":"Home health care routing and scheduling problems considering patient classification and outsourcing: modeling and a solution algorithm","volume":"182","author":"Ma","year":"2025","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.swevo.2026.102470_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110755","article-title":"Multi-objective integrated harvest and distribution scheduling for fresh agricultural products with farm-to-door requirements using Q-learning and problem knowledge-based cooperative evolutionary algorithms","volume":"200","author":"Ma","year":"2025","journal-title":"Comput. Ind. Eng."},{"issue":"8","key":"10.1016\/j.swevo.2026.102470_bib0021","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1109\/TCYB.2014.2382666","article-title":"Optimal bi-objective redundancy allocation for systems reliability and risk management","volume":"46","author":"Govindan","year":"2015","journal-title":"IEEE Trans. Cybern."},{"issue":"2","key":"10.1016\/j.swevo.2026.102470_bib0022","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","article-title":"A fast and elitist multiobjective genetic algorithm: NSGA-II","volume":"6","author":"Deb","year":"2002","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102470_bib0023","unstructured":"Zitzler E., Laumanns M., Thiele L. SPEA2: improving the strength Pareto evolutionary algorithm. Technical Report Gloriastrasse, 2001."},{"issue":"6","key":"10.1016\/j.swevo.2026.102470_bib0024","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","article-title":"MOEA\/D: a multiobjective evolutionary algorithm based on decomposition","volume":"11","author":"Zhang","year":"2008","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"10.1016\/j.swevo.2026.102470_bib0025","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1109\/TEVC.2002.802873","article-title":"On the performance of multiple-objective genetic local search on the 0\/1 knapsack problem: a comparative experiment","volume":"6","author":"Jaszkiewicz","year":"2002","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.swevo.2026.102470_bib0026","series-title":"International conference on parallel problem solving from nature","first-page":"832","article-title":"Indicator-based selection in multiobjective search","author":"Zitzler","year":"2004"},{"issue":"3","key":"10.1016\/j.swevo.2026.102470_bib0027","doi-asserted-by":"crossref","first-page":"1653","DOI":"10.1016\/j.ejor.2006.08.008","article-title":"SMS-EMOA: multiobjective selection based on dominated hypervolume","volume":"181","author":"Beume","year":"2007","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.swevo.2026.102470_bib0028","series-title":"The 11th Annual Conference on Genetic and Evolutionary Computation","first-page":"1475","article-title":"A multiobjective evolutionary algorithm for the task based sailor assignment problem","author":"Dasgupta","year":"2009"},{"key":"10.1016\/j.swevo.2026.102470_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120142","article-title":"Introducing a novel multi-objective optimization model for volunteer assignment in the post-disaster phase: combining fuzzy inference systems with NSGA-II and NRGA","volume":"226","author":"Rabiei","year":"2023","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"10.1016\/j.swevo.2026.102470_bib0030","doi-asserted-by":"crossref","first-page":"2294","DOI":"10.1109\/TCC.2020.3032386","article-title":"An automated task scheduling model using non-dominated sorting genetic algorithm II for fog-cloud systems","volume":"10","author":"Ali","year":"2020","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"1","key":"10.1016\/j.swevo.2026.102470_bib0031","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/s11280-022-01019-0","article-title":"Optimization of maintenance personnel dispatching strategy in smart grid","volume":"26","author":"Chen","year":"2023","journal-title":"World Wide Web."},{"issue":"4","key":"10.1016\/j.swevo.2026.102470_bib0032","first-page":"508","article-title":"An external archive guided multiobjective evolutionary algorithm based on decomposition for combinatorial optimization","volume":"19","author":"Cai","year":"2014","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"1","key":"10.1016\/j.swevo.2026.102470_bib0033","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s10479-014-1693-4","article-title":"Making a state-of-the-art heuristic faster with data mining","volume":"263","author":"Martins","year":"2018","journal-title":"Ann. Oper. Res."},{"key":"10.1016\/j.swevo.2026.102470_bib0034","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.knosys.2019.02.027","article-title":"An elitist nondominated sorting hybrid algorithm for multi-objective flexible job-shop scheduling problem with sequence-dependent setups","volume":"173","author":"Li","year":"2019","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.swevo.2026.102470_bib0035","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1016\/j.cie.2019.06.027","article-title":"A Pareto evolutionary algorithm based on incremental learning for a kind of multi-objective multidimensional knapsack problem","volume":"135","author":"Luo","year":"2019","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.swevo.2026.102470_bib0036","doi-asserted-by":"crossref","first-page":"18598","DOI":"10.1109\/TNNLS.2025.3578368","article-title":"Uncertain interruptibility multi-objective flexible job shop via deep reinforcement learning based on heterogeneous graph self-attention","volume":"36","author":"Wang","year":"2025","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.swevo.2026.102470_bib0037","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.eswa.2018.10.006","article-title":"Data mining based framework to assess solution quality for the rectangular 2D strip-packing problem","volume":"118","author":"J\u00fanior","year":"2019","journal-title":"Expert Syst. Appl."},{"issue":"12","key":"10.1016\/j.swevo.2026.102470_bib0038","doi-asserted-by":"crossref","first-page":"3159","DOI":"10.1016\/j.cor.2012.02.022","article-title":"A hybrid data mining GRASP with path-relinking","volume":"40","author":"Barbalho","year":"2013","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.swevo.2026.102470_bib0039","first-page":"744","article-title":"Using association rules to guide evolutionary search in solving constraint satisfaction","author":"Raschip","year":"2015","journal-title":"IEEE Congr. Evol. Comput. Sendai Jpn."},{"issue":"1\u20133","key":"10.1016\/j.swevo.2026.102470_bib0040","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.neucom.2006.07.008","article-title":"Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem","volume":"70","author":"Santos","year":"2006","journal-title":"Neurocomputing"},{"issue":"3","key":"10.1016\/j.swevo.2026.102470_bib0041","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1109\/TSMC.2020.3027860","article-title":"Frequent pattern-based search: a case study on the quadratic assignment problem","volume":"52","author":"Zhou","year":"2020","journal-title":"IEEE Trans. Syst. Man Cybern.: Syst."},{"issue":"3","key":"10.1016\/j.swevo.2026.102470_bib0042","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1109\/69.846291","article-title":"Scalable algorithms for association mining","volume":"12","author":"Zaki","year":"2000","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.swevo.2026.102470_bib0043","series-title":"IEEE Symposium on Computers and Communications","first-page":"1","article-title":"Apriori-Roaring-parallel: frequent pattern mining based on compressed bitmaps with OpenMP","author":"Colombo","year":"2021"},{"key":"10.1016\/j.swevo.2026.102470_bib0044","series-title":"The 2nd International Conference on Artificial Intelligence and Big Data","first-page":"295","article-title":"Research on association rules algorithm based on bit storage and deep pruning","author":"Chen","year":"2019"},{"key":"10.1016\/j.swevo.2026.102470_bib0045","first-page":"1","article-title":"Integrated scheduling of distributed manufacturing with assembly and distribution: state of the art, challenges, and future directions","author":"Fu","year":"2025","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.swevo.2026.102470_bib0046","doi-asserted-by":"crossref","DOI":"10.1016\/j.future.2024.107494","article-title":"Two-stage multi-objective optimization based on knowledge-driven approach: a case study on production and transportation integration","volume":"163","author":"Ding","year":"2025","journal-title":"Future Gener. Comput. Syst."},{"key":"10.1016\/j.swevo.2026.102470_bib0047","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2024.112537","article-title":"Bayesian learning based elitist nondominated sorting algorithm for a kind of multi-objective integrated production scheduling and transportation problem","volume":"169","author":"Li","year":"2025","journal-title":"Appl. Soft Comput."},{"issue":"8","key":"10.1016\/j.swevo.2026.102470_bib0048","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.1016\/S0305-0548(02)00058-8","article-title":"Reliability and cost optimization in distributed computing systems","volume":"30","author":"Hsieh","year":"2003","journal-title":"Comput. Oper. Res."},{"issue":"6","key":"10.1016\/j.swevo.2026.102470_bib0049","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1002\/1099-1638(200011\/12)16:6<475::AID-QRE342>3.0.CO;2-0","article-title":"Quality optimization (multi-characteristics) through Taguchi's technique and utility concept","volume":"16","author":"Kumar","year":"2000","journal-title":"Qual. Reliab. Eng. Int."},{"key":"10.1016\/j.swevo.2026.102470_bib0050","first-page":"944","article-title":"Rank-density based multiobjective genetic algorithm","volume":"1","author":"Lu","year":"2002","journal-title":"IEEE Congr. Evol. Comput. Honol. HI USA"},{"issue":"6","key":"10.1016\/j.swevo.2026.102470_bib0051","first-page":"187","article-title":"Improved NSGA2 algorithm based on dominant strength","volume":"45","author":"Lai","year":"2018","journal-title":"Comput. Sci."},{"key":"10.1016\/j.swevo.2026.102470_bib0052","series-title":"The 3rd International Conference on Genetic Algorithms","article-title":"Uniform crossover in genetic algorithms","author":"Syswerda","year":"1989"},{"issue":"1","key":"10.1016\/j.swevo.2026.102470_bib0053","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1109\/TASE.2020.3030397","article-title":"Dual probability learning based local search for the task assignment problem","volume":"19","author":"Li","year":"2020","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.swevo.2026.102470_bib0054","series-title":"The 20th International Conference on Very Large Data Bases","first-page":"487","article-title":"Fast algorithms for mining association rules","author":"Agrawal","year":"1994"}],"container-title":["Swarm and Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210650226001902?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2210650226001902?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T04:16:00Z","timestamp":1787112960000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2210650226001902"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":54,"alternative-id":["S2210650226001902"],"URL":"https:\/\/doi.org\/10.1016\/j.swevo.2026.102470","relation":{},"ISSN":["2210-6502"],"issn-type":[{"value":"2210-6502","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Pareto evolutionary algorithm based on data mining for a kind of task assignment problem considering agent reliability","name":"articletitle","label":"Article Title"},{"value":"Swarm and Evolutionary Computation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.swevo.2026.102470","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"102470"}}