{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:07:53Z","timestamp":1781107673475,"version":"3.54.1"},"reference-count":39,"publisher":"IGI Global Scientific Publishing","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7,1]]},"abstract":"<p>A method based on the leader-follower algorithm is proposed for transformation among the formations. The introduction of the greedy algorithm, behavior-based control and virtual structure help realize the region division and the calculation of the distribution of the leaders and followers in target formation. Collision detection and collision avoidance are proposed to solve path conflicts with error free feedback and effectively maintain the stability of motion. The modeling of transformation is simulated by the shape from a line to a wedged, in which the formation is adjusted by the distance difference obtained by feedback. The experimental results show that it is feasible and effective to implement the formation conversion and formation control, and the system possess a better robustness and stability.<\/p>","DOI":"10.4018\/ijthi.2019070103","type":"journal-article","created":{"date-parts":[[2019,4,15]],"date-time":"2019-04-15T14:49:22Z","timestamp":1555339762000},"page":"28-46","source":"Crossref","is-referenced-by-count":2,"title":["Formation Transformation Based on Leader-Follower Algorithm"],"prefix":"10.4018","volume":"15","author":[{"given":"Yanyu","family":"Duan","sequence":"first","affiliation":[{"name":"Engineering University of the People's Armed Police, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqiang","family":"Gao","sequence":"additional","affiliation":[{"name":"Engineering University of the People's Armed Police, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhensheng","family":"Peng","sequence":"additional","affiliation":[{"name":"Engineering University of the People's Armed Police, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenshuai","family":"Yang","sequence":"additional","affiliation":[{"name":"Engineering University of the People's Armed Police, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"Wang","sequence":"additional","affiliation":[{"name":"Engineering University of the People's Armed Police, Xi'an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJTHI.2019070103-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2015.05.003"},{"key":"IJTHI.2019070103-1","article-title":"An improved Class of Real-Coded Genetic Algorithms for Numerical Optimization.","author":"M. Z.Ali","year":"2017","journal-title":"Neurocomputing"},{"key":"IJTHI.2019070103-2","doi-asserted-by":"publisher","DOI":"10.4018\/IJTHI.2017070104"},{"key":"IJTHI.2019070103-3","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2014.06.009"},{"key":"IJTHI.2019070103-4","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000631"},{"key":"IJTHI.2019070103-5","doi-asserted-by":"publisher","DOI":"10.1016\/j.actbio.2016.08.041"},{"key":"IJTHI.2019070103-6","doi-asserted-by":"publisher","DOI":"10.1109\/CACSD.2016.7602540"},{"key":"IJTHI.2019070103-7","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2015.05.007"},{"key":"IJTHI.2019070103-8","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2007.09.019"},{"key":"IJTHI.2019070103-9","doi-asserted-by":"publisher","DOI":"10.1145\/3067695.3076023"},{"key":"IJTHI.2019070103-10","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2009.02.002"},{"key":"IJTHI.2019070103-11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.02.100"},{"key":"IJTHI.2019070103-12","doi-asserted-by":"publisher","DOI":"10.1504\/IJSSC.2016.082769"},{"key":"IJTHI.2019070103-13","doi-asserted-by":"publisher","DOI":"10.2991\/icecee-15.2015.148"},{"key":"IJTHI.2019070103-14","doi-asserted-by":"publisher","DOI":"10.1109\/ISESD.2016.7886709"},{"key":"IJTHI.2019070103-15","doi-asserted-by":"publisher","DOI":"10.1504\/IJGUC.2017.085909"},{"key":"IJTHI.2019070103-16","doi-asserted-by":"publisher","DOI":"10.4018\/IJTHI.2015100103"},{"key":"IJTHI.2019070103-17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2285123"},{"key":"IJTHI.2019070103-18","doi-asserted-by":"publisher","DOI":"10.1145\/359156.359164"},{"key":"IJTHI.2019070103-19","doi-asserted-by":"publisher","DOI":"10.1007\/s00224-015-9642-4"},{"key":"IJTHI.2019070103-20","doi-asserted-by":"publisher","DOI":"10.1177\/0278364907084441"},{"key":"IJTHI.2019070103-21","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2009.10.016"},{"key":"IJTHI.2019070103-22","doi-asserted-by":"publisher","DOI":"10.1504\/IJSSC.2011.039108"},{"key":"IJTHI.2019070103-23","doi-asserted-by":"publisher","DOI":"10.1504\/IJSSC.2016.080281"},{"key":"IJTHI.2019070103-24","doi-asserted-by":"publisher","DOI":"10.1002\/rnc.2880"},{"key":"IJTHI.2019070103-25","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2013.10.002"},{"key":"IJTHI.2019070103-26","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2013.05.004"},{"key":"IJTHI.2019070103-27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.07.033"},{"issue":"1","key":"IJTHI.2019070103-28","first-page":"19","article-title":"Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems.","volume":"7","author":"R.Rao","year":"2016","journal-title":"International Journal of Industrial Engineering Computations"},{"key":"IJTHI.2019070103-29","doi-asserted-by":"publisher","DOI":"10.1109\/CIHLI.2014.7013380"},{"issue":"1","key":"IJTHI.2019070103-30","article-title":"A greedy algorithm for task scheduling & resource allocation problems in cloud computing.","volume":"21","author":"L. S. V.Singh","year":"2014","journal-title":"International Journal of Research & Development in Technology and Management Science\u2013Kailash"},{"key":"IJTHI.2019070103-31","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2013.05.005"},{"key":"IJTHI.2019070103-32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.03.073"},{"key":"IJTHI.2019070103-33","doi-asserted-by":"publisher","DOI":"10.1504\/IJGUC.2016.073780"},{"key":"IJTHI.2019070103-34","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2015.05.008"},{"key":"IJTHI.2019070103-35","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2017.7978146"},{"key":"IJTHI.2019070103-36","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622014500151"},{"key":"IJTHI.2019070103-37","unstructured":"Zhang, Z. Y., Zhang, R. B., & Liu, X. (2008). Hybrid formation control of multi-robot. Journal of Beijing University of Posts and Telecommunications, 6."},{"key":"IJTHI.2019070103-38","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2015.04.002"}],"container-title":["International Journal of Technology and Human Interaction"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=227400","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T11:53:05Z","timestamp":1651837985000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJTHI.2019070103"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2019,7,1]]},"references-count":39,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,7]]}},"URL":"https:\/\/doi.org\/10.4018\/ijthi.2019070103","relation":{},"ISSN":["1548-3908","1548-3916"],"issn-type":[{"value":"1548-3908","type":"print"},{"value":"1548-3916","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,1]]}}}