{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T12:07:13Z","timestamp":1780661233128,"version":"3.54.1"},"reference-count":65,"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"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.asoc.2026.115293","type":"journal-article","created":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T23:19:01Z","timestamp":1777591141000},"page":"115293","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Adaptive multi-factory production-transportation scheduling optimization for rapid prefabricated steel construction using genetic programming"],"prefix":"10.1016","volume":"199","author":[{"given":"Jing","family":"Yin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9465-706X","authenticated-orcid":false,"given":"Jiayu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9573-857X","authenticated-orcid":false,"given":"Chaoxuan","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haokai","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ran","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9818-6007","authenticated-orcid":false,"given":"Shunyao","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.asoc.2026.115293_bib1","first-page":"1","article-title":"Research on Integrated Design of Modular Steel Structure Container Buildings Based on BIM","volume":"2022","author":"Su","year":"2022","journal-title":"Adv. Civ. Eng."},{"issue":"11","key":"10.1016\/j.asoc.2026.115293_bib2","first-page":"1970","article-title":"Potential of Modular Offsite Construction for Emergency Situations: A New Zealand Study","volume":"12","author":"Shahzad","year":"2022","journal-title":"Build. -Basel"},{"issue":"9","key":"10.1016\/j.asoc.2026.115293_bib3","doi-asserted-by":"crossref","first-page":"2553","DOI":"10.1108\/ECAM-12-2019-0674","article-title":"Dynamic transportation planning for prefabricated component supply chain","volume":"27","author":"Zhang","year":"2020","journal-title":"Eng. Constr. Archit. Ma."},{"issue":"2","key":"10.1016\/j.asoc.2026.115293_bib4","first-page":"65","article-title":"Rapid construction of modular buildings for emergencies: a case study from Hong Kong, China","volume":"176","author":"Chen","year":"2022","journal-title":"P. I. Civ. Eng. -Civ. En."},{"key":"10.1016\/j.asoc.2026.115293_bib5","unstructured":"Pan, Y. (2020). Research on the Design of Small Light Steel Structure Prefabricated Buildings. [Thesis, Zhejiang University]. Master."},{"issue":"8","key":"10.1016\/j.asoc.2026.115293_bib6","doi-asserted-by":"crossref","first-page":"3696","DOI":"10.1108\/ECAM-07-2021-0654","article-title":"Sharp schedule compression in urgent emergency construction projects via activity crashing, substitution and overlapping: a case study of Huoshengshan and Leishenshan Hospital projects in Wuhan","volume":"30","author":"Lu","year":"2023","journal-title":"Eng. Constr. Archit. Ma."},{"issue":"2","key":"10.1016\/j.asoc.2026.115293_bib7","first-page":"41","article-title":"Factors Affecting Construction Cost in Mara Large Construction Project: Perspective of Project Management Consultant","volume":"1","author":"Memon","year":"2011","journal-title":"Int. J. Sustain. Constr."},{"issue":"01","key":"10.1016\/j.asoc.2026.115293_bib8","first-page":"15","article-title":"Incremental Cost Analysis of Prefabricated Concrete Buildings and Countermeasure Studies","volume":"38","author":"Wang","year":"2017","journal-title":"Constr. Econ."},{"key":"10.1016\/j.asoc.2026.115293_bib9","doi-asserted-by":"crossref","first-page":"1204","DOI":"10.1016\/j.jclepro.2019.05.229","article-title":"Precast supply chain management in off-site construction: A critical literature review","volume":"232","author":"Wang","year":"2019","journal-title":"J. Clean. Prod."},{"issue":"04","key":"10.1016\/j.asoc.2026.115293_bib10","doi-asserted-by":"crossref","first-page":"97","DOI":"10.15302\/J-SSCAE-2021.04.011","article-title":"Impact of Major Public Emergencies on China's Construction Internationalization","volume":"23","author":"Wang","year":"2021","journal-title":"Strateg. Study Cae."},{"issue":"9","key":"10.1016\/j.asoc.2026.115293_bib11","first-page":"1430","article-title":"Evaluating Modular Healthcare Facilities for COVID-19 Emergency Response-A Case of Hong Kong","volume":"12","author":"Pan","year":"2022","journal-title":"Build. -Basel"},{"key":"10.1016\/j.asoc.2026.115293_bib12","doi-asserted-by":"crossref","first-page":"2198","DOI":"10.1016\/j.jclepro.2015.10.030","article-title":"Life-cycle energy analysis of prefabricated building components: an input-output-based hybrid model","volume":"112","author":"Hong","year":"2016","journal-title":"J. Clean. Prod."},{"issue":"18","key":"10.1016\/j.asoc.2026.115293_bib13","first-page":"11243","article-title":"Modular Structure Construction Progress Scenario: A Case Study of an Emergency Hospital to Address the COVID-19 Pandemic","volume":"14","author":"Chen","year":"2022","journal-title":"Sustain. -Basel"},{"key":"10.1016\/j.asoc.2026.115293_bib14","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101490","article-title":"An experimental approach to designing grouping genetic algorithms","volume":"86","author":"Ramos-Figueroa","year":"2024","journal-title":"Swarm Evolut. Comput."},{"key":"10.1016\/j.asoc.2026.115293_bib15","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2025.102048","article-title":"Learning strategies for particle swarm optimizer: A critical review and performance analysis","volume":"98","author":"Chauhan","year":"2025","journal-title":"Swarm Evolut. Comput."},{"key":"10.1016\/j.asoc.2026.115293_bib16","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2024.112614","article-title":"A genetic programming based cooperative evolutionary algorithm for flexible job shop with crane transportation and setup times","volume":"169","author":"Chen","year":"2025","journal-title":"Appl. Soft Comput."},{"issue":"10","key":"10.1016\/j.asoc.2026.115293_bib17","doi-asserted-by":"crossref","first-page":"5160","DOI":"10.1108\/ECAM-07-2021-0668","article-title":"An overall review of research on prefabricated construction supply chain management. Engineering","volume":"30","author":"Han","year":"2023","journal-title":"Eng. Constr. Archit. Ma."},{"key":"10.1016\/j.asoc.2026.115293_bib18","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2021.127503","article-title":"Modelling in off-site construction supply chain management: A review and future directions for sustainable modular integrated construction","volume":"310","author":"Hussein","year":"2021","journal-title":"J. Clean. Prod."},{"issue":"10","key":"10.1016\/j.asoc.2026.115293_bib19","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1080\/01446193.2022.2110273","article-title":"Twenty-year application of logistics and supply chain management in the construction industry","volume":"40","author":"Nguyen","year":"2022","journal-title":"Constr. Manag. Econ."},{"key":"10.1016\/j.asoc.2026.115293_bib20","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2023.104952","article-title":"Operations planning and scheduling in off-site construction supply chain management: Scope definition and future directions","volume":"153","author":"Zaalouk","year":"2023","journal-title":"Autom. Constr."},{"key":"10.1016\/j.asoc.2026.115293_bib21","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.autcon.2018.08.002","article-title":"Optimized rescheduling of multiple production lines for flowshop production of reinforced precast concrete components","volume":"95","author":"Ma","year":"2018","journal-title":"Autom. Constr."},{"issue":"10","key":"10.1016\/j.asoc.2026.115293_bib22","article-title":"An Integer Linear Programming Model for the Multiperiod Production Planning of Precast Concrete Beams","volume":"141","author":"Prata","year":"2015","journal-title":"J. Constr. Eng. M."},{"issue":"6","key":"10.1016\/j.asoc.2026.115293_bib23","doi-asserted-by":"crossref","first-page":"412","DOI":"10.28991\/cej-2017-00000101","article-title":"Classification of Precast Concrete Segments Damages during Production and Transportation in Mechanized Shield Tunnels of Iran","volume":"3","author":"Shayanfar","year":"2017","journal-title":"Civ. Eng. J."},{"key":"10.1016\/j.asoc.2026.115293_bib24","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.autcon.2016.08.007","article-title":"A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction","volume":"71","author":"Anvari","year":"2016","journal-title":"Autom. Constr."},{"issue":"2","key":"10.1016\/j.asoc.2026.115293_bib25","article-title":"Integrated Prefabrication Configuration and Component Grouping for Resource Optimization of Precast Production","volume":"140","author":"Khalili","year":"2014","journal-title":"J. Constr. Eng. M."},{"key":"10.1016\/j.asoc.2026.115293_bib26","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.autcon.2017.03.016","article-title":"Optimal single-machine batch scheduling for the manufacture, transportation and JIT assembly of precast construction with changeover costs within due dates","volume":"81","author":"Kong","year":"2017","journal-title":"Autom. Constr."},{"key":"10.1016\/j.asoc.2026.115293_bib27","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2019.100643","article-title":"Metaheuristics to solve grouping problems: A review and a case study","volume":"53","author":"Ramos-Figueroa","year":"2020","journal-title":"Swarm Evolut. Comput."},{"key":"10.1016\/j.asoc.2026.115293_bib28","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110017","article-title":"Multi-objective optimization for coordinated production and transportation in prefabricated construction with on-site lifting requirements","volume":"189","author":"Yin","year":"2024","journal-title":"Comput. Ind. Eng."},{"issue":"8","key":"10.1016\/j.asoc.2026.115293_bib29","article-title":"Cost-Optimized Transport Planning for Prefabricated Modules with the Implementation of the Just-in-Time Strategy","volume":"150","author":"Wang","year":"2024","journal-title":"J. Constr. Eng. M."},{"issue":"1","key":"10.1016\/j.asoc.2026.115293_bib30","first-page":"1","article-title":"Integrated production and distribution scheduling problems related with fixed delivery departure dates and number of late orders","volume":"2014","author":"Li","year":"2014","journal-title":"J. Inequal. Aool"},{"key":"10.1016\/j.asoc.2026.115293_bib31","first-page":"1","article-title":"Integrated Production-Distribution Scheduling Problem with Multiple Independent Manufacturers","volume":"2015","author":"Hao","year":"2015","journal-title":"Math. Probl. Eng."},{"key":"10.1016\/j.asoc.2026.115293_bib32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2018\/5120640","article-title":"A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm","volume":"2018","author":"Abdollahzadeh","year":"2018","journal-title":"Complexity"},{"issue":"2","key":"10.1016\/j.asoc.2026.115293_bib33","doi-asserted-by":"crossref","first-page":"1871","DOI":"10.1007\/s40747-022-00875-7","article-title":"Integrated scheduling of distributed production and distribution in group manufacturing with uncertain travel time","volume":"9","author":"Guo","year":"2023","journal-title":"Complex Intell. Syst."},{"issue":"4","key":"10.1016\/j.asoc.2026.115293_bib34","first-page":"2333","article-title":"A Pareto approach for the multi-factory supply chain scheduling and distribution problem","volume":"21","author":"Gharaei","year":"2021","journal-title":"Oper. Res-Ger."},{"issue":"3","key":"10.1016\/j.asoc.2026.115293_bib35","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1080\/00207543.2018.1481301","article-title":"Integrated multi-factory production and distribution scheduling applying vehicle routing approach","volume":"57","author":"Marandi","year":"2019","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.asoc.2026.115293_bib36","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1016\/j.asoc.2018.02.002","article-title":"A multi-agent approach to the integrated production scheduling and distribution problem in multi-factory supply chain","volume":"65","author":"Gharaei","year":"2018","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115293_bib37","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.115827","article-title":"Modelling and optimization of integrated distributed flow shop scheduling and distribution problems with time windows","volume":"187","author":"Hou","year":"2022","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"10.1016\/j.asoc.2026.115293_bib38","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.ejor.2022.05.033","article-title":"Order assignment and scheduling under processing and distribution time uncertainty","volume":"305","author":"Li","year":"2023","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.asoc.2026.115293_bib39","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1016\/j.ejor.2023.06.026","article-title":"Adaptive scheduling in service systems: A Dynamic programming approach","volume":"312","author":"Mahes","year":"2024","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.asoc.2026.115293_bib40","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.dam.2024.01.022","article-title":"A branch-and-bound approach to the no-idle flowshop scheduling problem","volume":"347","author":"Jarboui","year":"2024","journal-title":"Discret. Appl. Math."},{"issue":"10","key":"10.1016\/j.asoc.2026.115293_bib41","doi-asserted-by":"crossref","first-page":"3202","DOI":"10.1016\/j.cor.2007.02.014","article-title":"A genetic algorithm for the Flexible Job-shop Scheduling Problem","volume":"35","author":"Pezzella","year":"2008","journal-title":"Comput. Oper. Res."},{"key":"10.1016\/j.asoc.2026.115293_bib42","article-title":"Particle swarm optimization for integrated scheduling problem with batch additive manufacturing and batch direct-shipping delivery","volume":"161","author":"Sugianto","year":"2024","journal-title":"Comput. Oper. Res."},{"issue":"4","key":"10.1016\/j.asoc.2026.115293_bib43","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1109\/TEVC.2002.802450","article-title":"Ant colony optimization for resource-constrained project scheduling","volume":"6","author":"Merkle","year":"2002","journal-title":"IEEE T. Evolut. Comput."},{"key":"10.1016\/j.asoc.2026.115293_bib44","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.109976","article-title":"Solving line balancing and AGV scheduling problems for intelligent decisions using a Genetic-Artificial bee colony algorithm","volume":"189","author":"Mumtaz","year":"2024","journal-title":"Comput. Ind. Eng."},{"issue":"12","key":"10.1016\/j.asoc.2026.115293_bib45","doi-asserted-by":"crossref","first-page":"344","DOI":"10.3390\/machines9120344","article-title":"Adaptive Population NSGA-III with Dual Control Strategy for Flexible Job Shop Scheduling Problem with the Consideration of Energy Consumption and Weight","volume":"9","author":"Wu","year":"2021","journal-title":"Machines"},{"issue":"9","key":"10.1016\/j.asoc.2026.115293_bib46","doi-asserted-by":"crossref","first-page":"2781","DOI":"10.1016\/j.asoc.2012.03.065","article-title":"Evolving priority scheduling heuristics with genetic programming","volume":"12","author":"Jakobovic","year":"2012","journal-title":"Appl. Soft Comput."},{"issue":"1","key":"10.1016\/j.asoc.2026.115293_bib47","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s40747-017-0036-x","article-title":"Genetic programming for production scheduling: a survey with a unified framework","volume":"3","author":"Nguyen","year":"2017","journal-title":"Complex & Intell. Syst."},{"key":"10.1016\/j.asoc.2026.115293_bib48","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2021.105401","article-title":"Genetic programming-based hyper-heuristic approach for solving dynamic job shop scheduling problem with extended technical precedence constraints","volume":"134","author":"Fan","year":"2021","journal-title":"Comput. & Oper. Res."},{"issue":"13","key":"10.1016\/j.asoc.2026.115293_bib49","doi-asserted-by":"crossref","first-page":"4025","DOI":"10.1080\/00207543.2022.2053603","article-title":"A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling","volume":"60","author":"Shady","year":"2022","journal-title":"Int. J. Prod. Res."},{"issue":"3","key":"10.1016\/j.asoc.2026.115293_bib50","doi-asserted-by":"crossref","first-page":"296","DOI":"10.20965\/ijat.2022.p0296","article-title":"Multi-Objective Approach with a Distance Metric in Genetic Programming for Job Shop Scheduling","volume":"16","author":"Salama","year":"2022","journal-title":"Int. J. Autom. Technol."},{"issue":"2","key":"10.1016\/j.asoc.2026.115293_bib51","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/MCI.2024.3363970","article-title":"Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison","volume":"19","author":"Xu","year":"2024","journal-title":"IEEE Comput. Intell. Mag."},{"issue":"4","key":"10.1016\/j.asoc.2026.115293_bib52","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s10951-008-0090-8","article-title":"A survey of dynamic scheduling in manufacturing systems","volume":"12","author":"Ouelhadj","year":"2009","journal-title":"J. Sched."},{"key":"10.1016\/j.asoc.2026.115293_bib53","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2023.106364","article-title":"Scheduling wagons to unload in bulk cargo ports with uncertain processing times","volume":"160","author":"Ferreira","year":"2023","journal-title":"Comput. & Oper. Res."},{"issue":"5","key":"10.1016\/j.asoc.2026.115293_bib54","doi-asserted-by":"crossref","first-page":"1372","DOI":"10.1287\/trsc.2018.0887","article-title":"Provably High-Quality Solutions for the Meal Delivery Routing Problem","volume":"53","author":"Yildiz","year":"2019","journal-title":"Transp. Sci."},{"key":"10.1016\/j.asoc.2026.115293_bib55","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2024.105588","article-title":"Dispatching rule design for tower crane scheduling in prefabricated construction via genetic programming","volume":"165","author":"Yin","year":"2024","journal-title":"Autom. Constr."},{"issue":"1","key":"10.1016\/j.asoc.2026.115293_bib56","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/S0377-2217(00)00022-9","article-title":"NP-hardness of compact scheduling in simplified open and flow shops","volume":"130","author":"Giaro","year":"2001","journal-title":"Eur. J. Oper. Res."},{"key":"10.1016\/j.asoc.2026.115293_bib57","doi-asserted-by":"crossref","DOI":"10.1016\/j.cor.2020.104976","article-title":"Going to the core of hard resource-constrained project scheduling instances","volume":"121","author":"Coelho","year":"2020","journal-title":"Comput. & Oper. Res."},{"issue":"12","key":"10.1016\/j.asoc.2026.115293_bib58","doi-asserted-by":"crossref","first-page":"1464","DOI":"10.1057\/palgrave.jors.2602110","article-title":"Crane scheduling with non-crossing constraint","volume":"57","author":"Zhu","year":"2006","journal-title":"J. Oper. Res. Soc."},{"key":"10.1016\/j.asoc.2026.115293_bib59","doi-asserted-by":"crossref","unstructured":"Hunt, R., M. Johnston, and M.J. Zhang. (2014, 2014-01-01). Evolving \"Less- myopic\" Scheduling Rules for Dynamic Job Shop Scheduling with Genetic Programming. Gecco'14: Proceedings of the 2014 Genetic and Evolutionary Computation Conference, 1515 BROADWAY, NEW YORK, NY 10036-9998 USA.","DOI":"10.1145\/2576768.2598224"},{"issue":"5","key":"10.1016\/j.asoc.2026.115293_bib60","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1109\/TETCI.2017.2743758","article-title":"An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming","volume":"1","author":"Mei","year":"2017","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"10.1016\/j.asoc.2026.115293_bib61","doi-asserted-by":"crossref","unstructured":"Mei, Y., M.J. Zhang, and S. Nyugen. (2016, 2016-01-01). Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming. Gecco'16: Proceedings of the 2016 Genetic and Evolutionary Computation Conference, 1515 BROADWAY, NEW YORK, NY 10036-9998 USA.","DOI":"10.1145\/2908812.2908822"},{"key":"10.1016\/j.asoc.2026.115293_bib62","series-title":"2014 IEEE International Conference on Information and Automation (ICIA)","article-title":"A genetic algorithm with combined operators for permutation flowshop scheduling problems","author":"Sheng","year":"2014"},{"issue":"6","key":"10.1016\/j.asoc.2026.115293_bib63","first-page":"890","article-title":"Improved Hormone Algorithm for Solving the Permutation Flow Shop Scheduling Problem","volume":"51","author":"Zheng","year":"2022","journal-title":"ournal Univ. Electron. Sci. Technol. China"},{"key":"10.1016\/j.asoc.2026.115293_bib64","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1162\/evco_a_00230","article-title":"A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules","volume":"27","author":"Nguyen","year":"2019","journal-title":"Evol. Comput."},{"key":"10.1016\/j.asoc.2026.115293_bib65","doi-asserted-by":"crossref","first-page":"8142","DOI":"10.1109\/TCYB.2021.3050141","article-title":"Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling","volume":"52","author":"Zhang","year":"2022","journal-title":"IEEE T. Cybern."}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626007416?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626007416?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T11:33:43Z","timestamp":1780659223000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494626007416"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":65,"alternative-id":["S1568494626007416"],"URL":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115293","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Adaptive multi-factory production-transportation scheduling optimization for rapid prefabricated steel construction using genetic programming","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115293","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":"115293"}}