{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:40:11Z","timestamp":1783438811097,"version":"3.54.6"},"reference-count":36,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T00:00:00Z","timestamp":1646697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R &amp; D Program of China","award":["2018YFB1308700"],"award-info":[{"award-number":["2018YFB1308700"]}]},{"DOI":"10.13039\/501100010203","name":"Agriculture Research System of China","doi-asserted-by":"publisher","award":["CARS-24-D-01"],"award-info":[{"award-number":["CARS-24-D-01"]}],"id":[{"id":"10.13039\/501100010203","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2019M662410"],"award-info":[{"award-number":["2019M662410"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University-Industry Collaborative Education Program","award":["202101321011"],"award-info":[{"award-number":["202101321011"]}]},{"name":"University-Industry Collaborative Education Program","award":["202102430015"],"award-info":[{"award-number":["202102430015"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Agricultural machinery rental is a new service form that uses big data in agriculture to improve the utilization rate of agricultural machinery and promote the development of the agricultural economy. To realize agricultural machinery scheduling optimization in cloud services, a dynamic artificial bee-ant colony algorithm (DABAA) is proposed to solve the above problem. First, to improve the practicability of the mathematical model in agricultural production, a dynamic coefficient is proposed. Then the mutation operation is combined with the artificial bee colony (ABC) algorithm to improve the algorithm. Then, iterative threshold adjustment and optimal fusion point evaluation are used to combine the ABC algorithm with the ant colony optimization (ACO) algorithm, which not only improves the search precision but also improves the running speed. Finally, two groups of comparison experiments are carried out, and the results show that the DABAA can obviously improve the running speed and accuracy of cloud services in agricultural machinery rental.<\/jats:p>","DOI":"10.3390\/a15030088","type":"journal-article","created":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T12:35:37Z","timestamp":1646742937000},"page":"88","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Research on Agricultural Machinery Rental Optimization Based on the Dynamic Artificial Bee-Ant Colony Algorithm"],"prefix":"10.3390","volume":"15","author":[{"given":"Jialin","family":"Hou","sequence":"first","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an 271018, China"},{"name":"Shandong Academy of Agricultural Machinery Sciences, Jinan 250100, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9105-9507","authenticated-orcid":false,"given":"Jingtao","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an 271018, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanying","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an 271018, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianguo","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9660-5423","authenticated-orcid":false,"given":"Kai","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an 271018, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.comcom.2020.03.036","article-title":"Local Mutual Exclusion algorithm using fuzzy logic for Flying Ad hoc Networks","volume":"156","author":"Khanna","year":"2020","journal-title":"Comput. 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