{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T15:09:06Z","timestamp":1786115346048,"version":"build-2736575974"},"reference-count":36,"publisher":"Elsevier BV","issue":"13","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"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of the Franklin Institute"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.jfranklin.2026.108821","type":"journal-article","created":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T15:41:22Z","timestamp":1781624482000},"page":"108821","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive mutation optimization algorithm for applications pre-deployment in IIoT edge devices"],"prefix":"10.1016","volume":"363","author":[{"given":"Kai","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangyu","family":"Meng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiexiang","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingwan","family":"Xue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Konghua","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunbao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jfranklin.2026.108821_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110012","article-title":"Dynamic predictive maintenance strategy for system remaining useful life prediction via deep learning ensemble method","volume":"245","author":"Wang","year":"2024","journal-title":"Reliab. Eng. Syst. Safe."},{"issue":"4","key":"10.1016\/j.jfranklin.2026.108821_bib0002","doi-asserted-by":"crossref","DOI":"10.3390\/informatics11040071","article-title":"Edge computing and cloud computing for internet of things: a review","volume":"11","author":"Andriulo","year":"2024","journal-title":"Informatics"},{"issue":"8","key":"10.1016\/j.jfranklin.2026.108821_bib0003","doi-asserted-by":"crossref","DOI":"10.1145\/3469029","article-title":"Machine learning at the network edge: a survey","volume":"54","author":"Murshed","year":"2021","journal-title":"ACM Comput. Surv."},{"issue":"2","key":"10.1016\/j.jfranklin.2026.108821_bib0004","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1109\/JSAC.2022.3233532","article-title":"Dependent task scheduling and offloading for minimizing deadline violation ratio in mobile edge computing networks","volume":"41","author":"Liu","year":"2023","journal-title":"IEEE J. Sel. Area. Comm."},{"issue":"1","key":"10.1016\/j.jfranklin.2026.108821_bib0005","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1109\/JSAC.2024.3460049","article-title":"Joint content caching, service placement, and task offloading in UAV-enabled mobile edge computing networks","volume":"43","author":"Zhao","year":"2024","journal-title":"IEEE J. Sel. Area. Comm."},{"key":"10.1016\/j.jfranklin.2026.108821_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2019.103369","article-title":"A population-based iterated greedy algorithm for no-wait job shop scheduling with total flow time criterion","volume":"88","author":"Deng","year":"2020","journal-title":"Eng. Appl. Artif. Intel."},{"issue":"6","key":"10.1016\/j.jfranklin.2026.108821_bib0007","doi-asserted-by":"crossref","first-page":"4404","DOI":"10.1109\/TSC.2023.3324604","article-title":"Energy-efficient heuristic computation offloading with delay constraints in mobile edge computing","volume":"16","author":"Mei","year":"2023","journal-title":"IEEE T. Serv. Comput."},{"issue":"5","key":"10.1016\/j.jfranklin.2026.108821_bib0008","doi-asserted-by":"crossref","first-page":"1126","DOI":"10.1049\/cit2.12316","article-title":"Elite-guided equilibrium optimiser based on information enhancement: algorithm and mobile edge computing applications","volume":"9","author":"Wang","year":"2024","journal-title":"CAAI T. Intell. Techno."},{"issue":"11","key":"10.1016\/j.jfranklin.2026.108821_bib0009","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1007\/s10462-025-11351-2","article-title":"Swarm intelligence techniques and their applications in fog\/edge computing: an in-depth review","volume":"58","author":"Ghafari","year":"2025","journal-title":"Artif. Intell. Rev."},{"issue":"13","key":"10.1016\/j.jfranklin.2026.108821_bib0010","doi-asserted-by":"crossref","first-page":"22915","DOI":"10.1109\/JIOT.2025.3549441","article-title":"Dependency-aware task offloading strategy via heterogeneous graph neural network and deep reinforcement learning","volume":"12","author":"Wu","year":"2025","journal-title":"IEEE Internet Things"},{"key":"10.1016\/j.jfranklin.2026.108821_bib0011","series-title":"Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO)","first-page":"1503","article-title":"Using reinforcement learning for tuning genetic algorithms","author":"Quevedo","year":"2021"},{"key":"10.1016\/j.jfranklin.2026.108821_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.scs.2024.105577","article-title":"Self-adaptive metaheuristic-based emissions reduction in a collaborative vehicle routing problem","volume":"110","author":"Kahalimoghadam","year":"2024","journal-title":"Sustain. Cities. Soc."},{"key":"10.1016\/j.jfranklin.2026.108821_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.fuel.2024.133869","article-title":"A novel metaheuristic optimizer based on improved adaptive guided differential evolution algorithm for parameter identification of a PEMFC model","volume":"383","author":"Ge","year":"2025","journal-title":"Fuel"},{"issue":"2","key":"10.1016\/j.jfranklin.2026.108821_bib0014","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1145\/358923.358929","article-title":"An updated survey of GA-based multiobjective optimization techniques","volume":"32","author":"Coello","year":"2000","journal-title":"ACM Comput. Surv."},{"key":"10.1016\/j.jfranklin.2026.108821_bib0015","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1016\/j.rser.2015.08.007","article-title":"Particle swarm optimisation (PSO) for allocation of FACTS devices in electric transmission systems: a review","volume":"52","author":"Jordehi","year":"2015","journal-title":"Renew. Sust. Energ. Rev."},{"key":"10.1016\/j.jfranklin.2026.108821_bib0016","series-title":"2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)","first-page":"210","article-title":"Cuckoo search via L\u00e9vy flights","author":"Yang","year":"2009"},{"issue":"5","key":"10.1016\/j.jfranklin.2026.108821_bib0017","doi-asserted-by":"crossref","first-page":"3213","DOI":"10.1007\/s11831-025-10240-9","article-title":"Recent advances in multi-objective cuckoo search algorithm, its variants and applications","volume":"32","author":"Makhadmeh","year":"2025","journal-title":"Arch. Comput. Method. E."},{"key":"10.1016\/j.jfranklin.2026.108821_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108157","article-title":"A discrete cuckoo search algorithm for traveling salesman problem and its application in cutting path optimization","volume":"169","author":"Zhang","year":"2022","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.jfranklin.2026.108821_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.119910","article-title":"Reinforcement learning-based multi-strategy cuckoo search algorithm for 3D UAV path planning","volume":"223","author":"Yu","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.jfranklin.2026.108821_bib0020","article-title":"Optimizing islanded microgrid scheduling with reinforcement learning enhanced multi-strategy cuckoo search algorithm","volume":"186","author":"Yu","year":"2025","journal-title":"Appl. Soft. Comput."},{"issue":"3","key":"10.1016\/j.jfranklin.2026.108821_bib0021","doi-asserted-by":"crossref","first-page":"4073","DOI":"10.1007\/s11042-021-11633-1","article-title":"Cuckoo search with differential evolution mutation and Masi entropy for multi-level image segmentation","volume":"81","author":"Ray","year":"2022","journal-title":"Multimed. Tools Appl."},{"key":"10.1016\/j.jfranklin.2026.108821_bib0022","series-title":"2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN)","first-page":"436","article-title":"A hybrid GA-CS based meta heuristic approach for web personalization","author":"Kumar","year":"2023"},{"issue":"2","key":"10.1016\/j.jfranklin.2026.108821_bib0023","doi-asserted-by":"crossref","first-page":"292","DOI":"10.3390\/a8020292","article-title":"Training artificial neural networks by a hybrid PSO-CS algorithm","volume":"8","author":"Chen","year":"2015","journal-title":"Algorithms"},{"key":"10.1016\/j.jfranklin.2026.108821_bib0024","article-title":"Enhancing thermal management in multi-zone air conditioning system using novel hybrid bat-cuckoo search optimization methods: a case study of a shopping mall","volume":"103","author":"Ramkumar","year":"2025","journal-title":"J. Build Eng."},{"issue":"1","key":"10.1016\/j.jfranklin.2026.108821_bib0025","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/4235.585893","article-title":"No free lunch theorems for optimization","volume":"1","author":"Wolpert","year":"1997","journal-title":"IEEE T. Evolut. Comput."},{"issue":"2","key":"10.1016\/j.jfranklin.2026.108821_bib0026","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1109\/4235.771166","article-title":"Parameter control in evolutionary algorithms","volume":"3","author":"Eiben","year":"1999","journal-title":"IEEE T. Evolut. Comput."},{"key":"10.1016\/j.jfranklin.2026.108821_bib0027","first-page":"43","article-title":"The irace package: iterated racing for automatic algorithm configuration","volume":"3","author":"L\u00f3pez-Ib\u00e1\u00f1ez","year":"2016","journal-title":"Oper. Res. Perspect."},{"issue":"6","key":"10.1016\/j.jfranklin.2026.108821_bib0028","doi-asserted-by":"crossref","first-page":"1866","DOI":"10.1109\/TEVC.2022.3230042","article-title":"Adaptive ant colony optimization with node clustering for the multidepot vehicle routing problem","volume":"27","author":"Stodola","year":"2022","journal-title":"IEEE T. Evolut. Comput."},{"issue":"2","key":"10.1016\/j.jfranklin.2026.108821_bib0029","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1109\/TEVC.2019.2921598","article-title":"A survey of automatic parameter tuning methods for metaheuristics","volume":"24","author":"Huang","year":"2020","journal-title":"IEEE T. Evolut. Comput."},{"issue":"12","key":"10.1016\/j.jfranklin.2026.108821_bib0030","doi-asserted-by":"crossref","first-page":"15523","DOI":"10.1007\/s10462-023-10542-z","article-title":"AFOX: a new adaptive nature-inspired optimization algorithm","volume":"56","author":"ALRahhal","year":"2023","journal-title":"Artif. Intell. Rev."},{"key":"10.1016\/j.jfranklin.2026.108821_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101737","article-title":"Multi-strategy particle swarm optimization with adaptive forgetting for base station layout","volume":"91","author":"Zhu","year":"2024","journal-title":"Swarm Evol. Comput."},{"issue":"12","key":"10.1016\/j.jfranklin.2026.108821_bib0032","doi-asserted-by":"crossref","first-page":"4211","DOI":"10.1007\/s10489-019-01487-4","article-title":"A new asynchronous reinforcement learning algorithm based on improved parallel PSO","volume":"49","author":"Ding","year":"2019","journal-title":"Appl. Intell."},{"key":"10.1016\/j.jfranklin.2026.108821_bib0033","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2023.101236","article-title":"RL-GA: a reinforcement learning-based genetic algorithm for electromagnetic detection satellite scheduling problem","volume":"77","author":"Song","year":"2023","journal-title":"Swarm Evol. Comput."},{"issue":"4","key":"10.1016\/j.jfranklin.2026.108821_bib0034","doi-asserted-by":"crossref","first-page":"1709","DOI":"10.3390\/modelling5040089","article-title":"Deep Q-network-enhanced self-tuning control of particle swarm optimization","volume":"5","author":"Aoun","year":"2024","journal-title":"Modelling"},{"key":"10.1016\/j.jfranklin.2026.108821_bib0035","series-title":"International Conference on Learning Representations (ICLR)","article-title":"Attention, learn to solve routing problems!","author":"Kool","year":"2019"},{"issue":"7","key":"10.1016\/j.jfranklin.2026.108821_bib0036","doi-asserted-by":"crossref","first-page":"4247","DOI":"10.1109\/TSMC.2024.3374889","article-title":"Deep reinforcement learning for dynamic algorithm selection: a proof-of-principle study on differential evolution","volume":"54","author":"Guo","year":"2024","journal-title":"IEEE T. Syst. Man Cy. Syst."}],"container-title":["Journal of the Franklin Institute"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0016003226004205?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0016003226004205?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T02:20:52Z","timestamp":1785982852000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0016003226004205"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":36,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2026,8]]}},"alternative-id":["S0016003226004205"],"URL":"https:\/\/doi.org\/10.1016\/j.jfranklin.2026.108821","relation":{},"ISSN":["0016-0032"],"issn-type":[{"value":"0016-0032","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Adaptive mutation optimization algorithm for applications pre-deployment in IIoT edge devices","name":"articletitle","label":"Article Title"},{"value":"Journal of the Franklin Institute","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jfranklin.2026.108821","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Inc. on behalf of The Franklin Institute.","name":"copyright","label":"Copyright"}],"article-number":"108821"}}