{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,2]],"date-time":"2025-03-02T05:15:45Z","timestamp":1740892545489,"version":"3.38.0"},"reference-count":21,"publisher":"SAGE Publications","issue":"10","license":[{"start":{"date-parts":[[2012,11,1]],"date-time":"2012-11-01T00:00:00Z","timestamp":1351728000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering"],"published-print":{"date-parts":[[2012,11]]},"abstract":"<jats:p> By making use of the characteristics of ergodicity, randomicity and regularity of chaotic variables and information entropy, a novel chaotic small-world algorithm is presented to improve the optimization performance of the simple small-world algorithm. Compared with the corresponding simple small-world algorithm and the modified genetic algorithm approach, the optimization results of selected complex functions indicate that the proposed chaotic small-world algorithm is characterized by a strong search capability and a quick convergence speed. A study of parameter performance of the chaotic small-world algorithm aids in further improvement of its optimization capability. Additionally, the chaotic small-world algorithm is applied to mobile robot path planning, and the global path is optimized by the chaotic small-world algorithm based on a MAKLINK graph. Finally, experimental results verify the validity of the chaotic small-world algorithm for robot path planning. <\/jats:p>","DOI":"10.1177\/0959651812455987","type":"journal-article","created":{"date-parts":[[2012,11,6]],"date-time":"2012-11-06T17:31:15Z","timestamp":1352223075000},"page":"1356-1370","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["A novel small-world algorithm incorporating chaos optimization and its application to robot path planning"],"prefix":"10.1177","volume":"226","author":[{"given":"Ming Xin","family":"Yuan","sequence":"first","affiliation":[{"name":"School of Mechatronics and Automotive Engineering, Jiangsu University of Science and Technology, China"},{"name":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, China"}]},{"given":"Zhao Li","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Mechatronics and Automotive Engineering, Jiangsu University of Science and Technology, China"}]},{"given":"Shuai","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Mechatronics and Automotive Engineering, Jiangsu University of Science and Technology, China"}]},{"given":"Sun An","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, China"}]},{"given":"Qi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechatronics and Automotive Engineering, Jiangsu University of Science and Technology, China"}]}],"member":"179","published-online":{"date-parts":[[2012,11,6]]},"reference":[{"key":"bibr1-0959651812455987","doi-asserted-by":"publisher","DOI":"10.1007\/11881223_33"},{"key":"bibr2-0959651812455987","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-008-0219-8"},{"key":"bibr3-0959651812455987","doi-asserted-by":"publisher","DOI":"10.1109\/SASOW.2010.70"},{"key":"bibr4-0959651812455987","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2009.10.021"},{"key":"bibr5-0959651812455987","doi-asserted-by":"publisher","DOI":"10.1111\/j.1538-4632.2009.00754.x"},{"key":"bibr6-0959651812455987","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2009.07.036"},{"key":"bibr7-0959651812455987","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2009.5192949"},{"issue":"11","key":"bibr8-0959651812455987","first-page":"1360","volume":"41","author":"Chen YC","year":"2007","journal-title":"J Xi\u2019an Jiaotong Univ"},{"key":"bibr9-0959651812455987","first-page":"55","volume-title":"The 8th IEEE international conference on computational intelligence in robotics and automation","author":"Li XH","year":"2009"},{"key":"bibr10-0959651812455987","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01513-7_4"},{"key":"bibr11-0959651812455987","first-page":"2736","volume-title":"The international conference on consumer electronics, communications and networks","author":"Zhang H","year":"2011"},{"key":"bibr12-0959651812455987","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2008.04.008"},{"key":"bibr13-0959651812455987","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-008-9276-8"},{"key":"bibr14-0959651812455987","first-page":"1474","volume-title":"The international conference on electrical and control engineering","author":"Zhao S","year":"2010"},{"key":"bibr15-0959651812455987","first-page":"1","volume-title":"The IEEE international conference on cybernetics and intelligent systems","author":"Yuan MX","year":"2008"},{"key":"bibr16-0959651812455987","unstructured":"Karaboga D. 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