{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:55:52Z","timestamp":1754157352852,"version":"3.41.2"},"reference-count":16,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2006,5,1]],"date-time":"2006-05-01T00:00:00Z","timestamp":1146441600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,5,1]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>Seeks to present a new method of trajectory planning, i.e. genetic algorithms (GA), for six\u2010degree\u2010of\u2010freedom (DOF) industrial robots.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>Describes the effects of the GA method with the advantage of quaternion algebra and by a process of elimination selects the optimal solution.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>Finds that the problem of optimization, caused by having two contrary response variables, i.e. time and distance, can only be solved by determining the importance of the variables and calculating the optimum levels of the parameters.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>This study would appear to break new ground in the trajectory planning of six\u2010DOF industrial robots in proposing a superior alternative to conventional methods.<\/jats:p><\/jats:sec>","DOI":"10.1108\/01439910610659114","type":"journal-article","created":{"date-parts":[[2006,7,3]],"date-time":"2006-07-03T23:32:41Z","timestamp":1151969561000},"page":"205-215","source":"Crossref","is-referenced-by-count":5,"title":["Effects of genetic algorithm parameters on trajectory planning for 6\u2010DOF industrial robots"],"prefix":"10.1108","volume":"33","author":[{"given":"Mustafa","family":"\u00c7ak\u0131r","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erhan","family":"Butun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yekta","family":"Kayman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"unstructured":"Design\u2010Expert version 6 (2005), available at: www.statease.com\/.","key":"key2022031019445607600_b1"},{"unstructured":"Emil, L. and Gheorghe, L. (1997), \u201cPick and place robot trajectory design using computer simulation\u201d, Rezanie I Instrument, Nos 51\/97, p. 157.","key":"key2022031019445607600_b2"},{"doi-asserted-by":"crossref","unstructured":"Funda, J. (1990), \u201cOn homogeneous transforms, quaternions and computational efficiency\u201d, IEEE Trans. on Robotics and Automation, Vol. 6 No. 3, pp. 383\u20108.","key":"key2022031019445607600_b3","DOI":"10.1109\/70.56658"},{"unstructured":"Goldberg, D.E. (1989), Genetic Algorithms in Search, Optimization, and Machine Learning, Addison\u2010Wesley, Reading, MA.","key":"key2022031019445607600_b16"},{"unstructured":"Helguera, C. and Zegloul, S. (2000), \u201cA local\u2010based method for manipulators path planning in heavy cluttered environments\u201d, Proceedings of the 2000 IEEE Int. Conf. on Robotics and Automation, San Francisco, CA, USA, pp. 3467\u201072.","key":"key2022031019445607600_b4"},{"unstructured":"Henrich, D., Wurll, C. and Worn, H. (1998), \u201cOn\u2010line path planning by heuristic hierarchical search\u201d, IECON'98 Proceedings of the 24th Annual Conf. of the IEEE Industrial Electronics Society, New York, NY, pp. 2239\u201044.","key":"key2022031019445607600_b5"},{"unstructured":"Klumpp, A.R. (1979), \u201cSingularity free extraction of a quaternion from a direction cosine matrix\u201d, Journal of Spacecraft and Rockets, Vol. 16 No. 1, pp. 1\u20109.","key":"key2022031019445607600_b6"},{"unstructured":"Mitchell, M. (1999), An Introduction to Genetic Algorithms, 5th printing, MIT Press, Cambridge, MA.","key":"key2022031019445607600_b7"},{"doi-asserted-by":"crossref","unstructured":"Saab, Y. and VanPutte, M. (1999), \u201cShortest path planning on topographical maps\u201d, IEEE Trans Syst. Man Cy., Vol. 29, pp. 139\u201050.","key":"key2022031019445607600_b9","DOI":"10.1109\/3468.736370"},{"unstructured":"Schaffer, J.D., Caruana, R.A., Eshelman, L.J. and Das, R. (1989), \u201cA study of control parameters affecting online performance of genetic algorithms for function optimization\u201d, Proceedings of the Third International Conference on Genetic Algorithms.","key":"key2022031019445607600_b15"},{"doi-asserted-by":"crossref","unstructured":"Shintaku, E. (1999), \u201cMinimum energy trajectory for an underwater manipulator and its simple planning method by using a genetic algorithm\u201d, Adv. Robotics, Vol. 13, pp. 115\u201038.","key":"key2022031019445607600_b10","DOI":"10.1163\/156855399X01044"},{"doi-asserted-by":"crossref","unstructured":"Whitley, D. (2001), \u201cAn overview of evolutionary algorithms: practical issues and common pitfalls\u201d, Information and Software Technology, Vol. 43 No. 14, pp. 817\u201034.","key":"key2022031019445607600_b11","DOI":"10.1016\/S0950-5849(01)00188-4"},{"doi-asserted-by":"crossref","unstructured":"Wie, B. and Barba, P.M. (1985), \u201cQuaternion feedback for spacecraft large angle maneuvers\u201d, Journal of Guidance Control and Dynamics, Vol. 8 No. 3, pp. 360\u20105.","key":"key2022031019445607600_b12","DOI":"10.2514\/3.19988"},{"doi-asserted-by":"crossref","unstructured":"Yang, S.X. and Meng, M. (2000), \u201cAn efficient neural network approach to dynamic robot motion planning\u201d, Neural Networks, Vol. 13, pp. 143\u20108.","key":"key2022031019445607600_b13","DOI":"10.1016\/S0893-6080(99)00103-3"},{"doi-asserted-by":"crossref","unstructured":"Yano, F. and Tooda, Y. (1999), \u201cPreferable movement of a multi\u2010joint robot arm using genetic algorithm\u201d, paper presented at the SPIE Conf. on Intelligent Robots and Computer Vision, Vol. 3837, pp. 80\u20108.","key":"key2022031019445607600_b14","DOI":"10.1117\/12.360286"},{"doi-asserted-by":"crossref","unstructured":"Zacharia, P.Th. and Aspragathos, N.A. (2004), \u201cOptimal robot task scheduling based on genetic algorithms\u201d, Robotics & Computer\u2010Integrated Manufacturing, pp. 67\u201079.","key":"key2022031019445607600_b8","DOI":"10.1016\/j.rcim.2004.04.003"}],"container-title":["Industrial Robot: An International Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/01439910610659114\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/01439910610659114\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T23:50:02Z","timestamp":1753401002000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/ir\/article\/33\/3\/205-215\/433820"}},"subtitle":[],"editor":[{"given":"Geoff","family":"Pegman","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2006,5,1]]},"references-count":16,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2006,5,1]]}},"alternative-id":["10.1108\/01439910610659114"],"URL":"https:\/\/doi.org\/10.1108\/01439910610659114","relation":{},"ISSN":["0143-991X"],"issn-type":[{"type":"print","value":"0143-991X"}],"subject":[],"published":{"date-parts":[[2006,5,1]]}}}