{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:34:54Z","timestamp":1775230494837,"version":"3.50.1"},"reference-count":16,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Applied Mathematics"],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>A parallel multipopulation genetic algorithm (PMPGA) is proposed to optimize the train control strategy, which reduces the energy consumption at a specified running time. The paper considered not only energy consumption, but also running time, security, and riding comfort. Also an actual railway line (Beijing-Shanghai High-Speed Railway) parameter including the slop, tunnel, and curve was applied for simulation. Train traction property and braking property was explored detailed to ensure the accuracy of running. The PMPGA was also compared with the standard genetic algorithm (SGA); the influence of the fitness function representation on the search results was also explored. By running a series of simulations, energy savings were found, both qualitatively and quantitatively, which were affected by applying cursing and coasting running status. The paper compared the PMPGA with the multiobjective fuzzy optimization algorithm and differential evolution based algorithm and showed that PMPGA has achieved better result. The method can be widely applied to related high-speed train.<\/jats:p>","DOI":"10.1155\/2014\/507308","type":"journal-article","created":{"date-parts":[[2014,5,4]],"date-time":"2014-05-04T21:06:42Z","timestamp":1399237602000},"page":"1-7","source":"Crossref","is-referenced-by-count":27,"title":["Optimization of High-Speed Train Control Strategy for Traction Energy Saving Using an Improved Genetic Algorithm"],"prefix":"10.1155","volume":"2014","author":[{"given":"Ruidan","family":"Su","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang 110004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qianrong","family":"Gu","sequence":"additional","affiliation":[{"name":"Service Science Research Center, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201203, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Wen","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang 110004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"98","reference":[{"issue":"2","key":"16","doi-asserted-by":"crossref","first-page":"301","DOI":"10.3745\/JIPS.2013.9.2.301","volume":"9","year":"2013","journal-title":"Journal of Information Processing Systems"},{"issue":"1","key":"17","volume":"4","year":"2013","journal-title":"Journal of Convergence"},{"issue":"1","key":"18","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1166\/jcies.2013.1048","volume":"2","year":"2013","journal-title":"Journal of Computational Intelligence and Electronic Systems"},{"issue":"2","key":"19","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1166\/jcies.2012.1026","volume":"1","year":"2012","journal-title":"Journal of Computational Intelligence and Electronic Systems"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.0253-374x.2012.02.013"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-epa:20070005"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2005.851939"},{"issue":"4","key":"7","volume":"11","year":"1999","journal-title":"Journal of System Simulation"},{"issue":"6","key":"8","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1109\/3468.725350","volume":"28","year":"1998","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics A: Systems and Humans"},{"issue":"1","key":"13","volume":"18","year":"1997","journal-title":"Science of China Railways"},{"key":"14","volume":"2","year":"2000","journal-title":"Railway Locomotive & Car"},{"issue":"3","key":"9","first-page":"59","year":"1986","journal-title":"Izvestiya Vuzov Seriya Electrome Chanica"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/9.867018"},{"key":"15","volume":"2","year":"2012","journal-title":"Human-Centric Computing and Information Sciences"},{"issue":"9","key":"11","volume":"35","year":"2013","journal-title":"Journal of the China Railway Society"},{"issue":"12","key":"12","volume":"12","year":"2012","journal-title":"Science Technology and Engineering"}],"container-title":["Journal of Applied Mathematics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jam\/2014\/507308.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jam\/2014\/507308.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jam\/2014\/507308.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,22]],"date-time":"2017-06-22T12:37:41Z","timestamp":1498135061000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/jam\/2014\/507308\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":16,"alternative-id":["507308","507308"],"URL":"https:\/\/doi.org\/10.1155\/2014\/507308","relation":{},"ISSN":["1110-757X","1687-0042"],"issn-type":[{"value":"1110-757X","type":"print"},{"value":"1687-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}