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A novel nondominated sorting genetic algorithm with uncertainty repair (NSGA-UR) is proposed to solve the problem. It incorporates innovative encoding and decoding methods, evolution strategies, and an uncertainty repair strategy. NSGA-UR demonstrates higher robustness compared to several widely used multiobjective optimization algorithms, including NSGA-II, MOPSO, and MOGWO. In addition, experimental results show the superiority of the algorithm in solving RMRP. This work can contribute to the advancement of intelligent public transportation services.<\/jats:p>","DOI":"10.1051\/ro\/2025061","type":"journal-article","created":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:00:36Z","timestamp":1747195236000},"page":"1727-1748","source":"Crossref","is-referenced-by-count":0,"title":["Robust optimization for multimodal route planning integrating shared taxi and bus under uncertain traveling time"],"prefix":"10.1051","volume":"59","author":[{"given":"Rongyan","family":"Zhang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0762-5607","authenticated-orcid":false,"given":"Liang","family":"Qi","sequence":"additional","affiliation":[]},{"given":"Mengqi","family":"Li","sequence":"additional","affiliation":[]},{"given":"Wenjing","family":"Luan","sequence":"additional","affiliation":[]},{"given":"Xiwang","family":"Guo","sequence":"additional","affiliation":[]}],"member":"250","published-online":{"date-parts":[[2025,7,14]]},"reference":[{"key":"R1","doi-asserted-by":"crossref","first-page":"2185","DOI":"10.1051\/ro\/2024053","volume":"58","author":"Sifaoui","year":"2024","journal-title":"RAIRO-Oper. 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