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To fill this gap, we formulate the problem as a split delivery vehicle routing problem, \twhich enables flexible division of field tasks across machines. Based on this formulation, we construct a unified framework that incorporates farmland modeling, machine modeling, and farmer-specific preferences. The proposed framework is designed to accommodate multiple optimization algorithms such as simulated annealing, local search, genetic algorithm, \tand ant colony optimization \tunder a common structure, allowing flexible applications across diverse agricultural scenarios. We evaluated the performance and sensitivity of the algorithm to the hyperparameters using simulations for varying farmland sizes and computation times. The results demonstrate that the framework effectively supports algorithm selection and parameter tuning according to situational needs. This approach offers a versatile foundation for optimizing agricultural tasks, and can be extended to dynamic and real-time environments using real farmland data.<\/jats:p>","DOI":"10.20965\/jrm.2026.p0413","type":"journal-article","created":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T15:02:06Z","timestamp":1776610926000},"page":"413-426","source":"Crossref","is-referenced-by-count":0,"title":["A Task Allocation Framework for Field-Based Mobile Machines with Algorithm Selection and Hyperparameter Tuning"],"prefix":"10.20965","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6266-2964","authenticated-orcid":true,"given":"Kenta","family":"Hayakawa","sequence":"first","affiliation":[{"name":"Department of Precision Engineering, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shunsuke","family":"Miyashita","sequence":"additional","affiliation":[{"name":"Technology Innovation R&D Department II, Research & Development Headquarters, KUBOTA Corporation, 1-11 Takumi-cho, Sakai-ku, Sakai, Osaka 590-0908, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nagahiro","family":"Fujiwara","sequence":"additional","affiliation":[{"name":"Technology Innovation R&D Department II, Research & Development Headquarters, KUBOTA Corporation, 1-11 Takumi-cho, Sakai-ku, Sakai, Osaka 590-0908, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryota","family":"Yoshiuchi","sequence":"additional","affiliation":[{"name":"Technology Innovation R&D Department II, Research & Development Headquarters, KUBOTA Corporation, 1-11 Takumi-cho, Sakai-ku, Sakai, Osaka 590-0908, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3297-9490","authenticated-orcid":true,"given":"Jiaxi","family":"Lu","sequence":"additional","affiliation":[{"name":"Research into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6095-6344","authenticated-orcid":true,"given":"Ryota","family":"Takamido","sequence":"additional","affiliation":[{"name":"Research into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4738-2275","authenticated-orcid":true,"given":"Jun","family":"Ota","sequence":"additional","affiliation":[{"name":"Research into Artifacts, Center for Engineering (RACE), School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"8550","published-online":{"date-parts":[[2026,4,20]]},"reference":[{"key":"key-10.20965\/jrm.2026.p0413-1","doi-asserted-by":"crossref","unstructured":"C. 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