{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T16:33:17Z","timestamp":1740155597415,"version":"3.37.3"},"reference-count":16,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,2,15]],"date-time":"2020-02-15T00:00:00Z","timestamp":1581724800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007162","name":"Guangdong Science and Technology Department","doi-asserted-by":"publisher","award":["2017B090910012"],"award-info":[{"award-number":["2017B090910012"]}],"id":[{"id":"10.13039\/501100007162","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Robotics"],"published-print":{"date-parts":[[2020,2,15]]},"abstract":"<jats:p>To solve the problem that the time-consuming optimization process of Genetic Algorithm (GA) can erode the expected time-saving brought by the algorithm, time-optimal trajectory planning based on cubic spline was used, after the modification to classical fitness sharing function of NGA, a dual-threaded method utilizing elite strategy characteristic was designed which was based on Niche Genetic Algorithm (NGA) with the fitness sharing technique. The simulation results show that the proposed method can mitigate the contradiction of the long term the optimization algorithm takes but a short running time the trajectory gets, demonstrating the effectiveness of the proposed method. Besides, the improved fitness sharing technique has reduced the subjective process of determining relevant parameters and the optimized trajectory results met performance constraints of the robot joints.<\/jats:p>","DOI":"10.1155\/2020\/6859589","type":"journal-article","created":{"date-parts":[[2020,2,15]],"date-time":"2020-02-15T18:30:49Z","timestamp":1581791449000},"page":"1-13","source":"Crossref","is-referenced-by-count":2,"title":["A Dual-Thread Method for Time-Optimal Trajectory Planning in Joint Space Based on Improved NGA"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1409-0508","authenticated-orcid":true,"given":"Kaipeng","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Information Science and Technology, Jinan University, Guangzhou 510632, China"},{"name":"Robotics Research Institute of Jinan University, Guangzhou 510632, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9942-5652","authenticated-orcid":true,"given":"Ning","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Jinan University, Guangzhou 510632, China"},{"name":"Robotics Research Institute of Jinan University, Guangzhou 510632, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4009-8618","authenticated-orcid":true,"given":"Gao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Jinan University, Guangzhou 510632, China"},{"name":"Robotics Research Institute of Jinan University, Guangzhou 510632, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","first-page":"8","volume":"5","year":"2017","journal-title":"Modular Machine Tool & Automatic Manufacturing Technique"},{"key":"2","first-page":"925","volume":"5","year":"2018","journal-title":"Control Engineering of China"},{"key":"3","first-page":"377","volume":"3","year":"2017","journal-title":"Robot"},{"issue":"16","key":"4","first-page":"1984","volume":"29","year":"1989","journal-title":"China Mechanical Engineering"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2905849"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.01.055"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2019.05.006"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2019.01.105"},{"issue":"1","key":"10","first-page":"101","volume":"24","year":"2018","journal-title":"Computer Integrated Manufacturing Systems"},{"issue":"14","key":"11","first-page":"143","volume":"53","year":"2017","journal-title":"Computer Engineering and Applications"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2945824"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/3207950"},{"year":"2010","key":"14"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/tac.1983.1103181"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1109\/4235.735432"},{"volume":"118","year":"2017","key":"20"}],"container-title":["Journal of Robotics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jr\/2020\/6859589.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jr\/2020\/6859589.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jr\/2020\/6859589.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,15]],"date-time":"2020-02-15T18:30:55Z","timestamp":1581791455000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/jr\/2020\/6859589\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,15]]},"references-count":16,"alternative-id":["6859589","6859589"],"URL":"https:\/\/doi.org\/10.1155\/2020\/6859589","relation":{},"ISSN":["1687-9600","1687-9619"],"issn-type":[{"type":"print","value":"1687-9600"},{"type":"electronic","value":"1687-9619"}],"subject":[],"published":{"date-parts":[[2020,2,15]]}}}