{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T04:49:53Z","timestamp":1725857393412},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319410081"},{"type":"electronic","value":"9783319410098"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-41009-8_46","type":"book-chapter","created":{"date-parts":[[2016,6,14]],"date-time":"2016-06-14T00:49:28Z","timestamp":1465865368000},"page":"424-432","source":"Crossref","is-referenced-by-count":1,"title":["Comprehensive Learning PSO for Solving Environment Heterogeneous Fixed Fleet VRP with Time Windows"],"prefix":"10.1007","author":[{"given":"X. B.","family":"Gan","sequence":"first","affiliation":[]},{"given":"L. J.","family":"Liu","sequence":"additional","affiliation":[]},{"given":"J. S.","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Ben","family":"Niu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,6,15]]},"reference":[{"key":"46_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1007\/978-3-540-73556-4_9","volume-title":"Combinatorial Optimization and Applications","author":"I Kara","year":"2007","unstructured":"Kara, I., Kara, B.Y., Yetis, M.: Energy minimizing vehicle routing problem. In: Dress, A.W., Xu, Y., Zhu, B. (eds.) COCOA 2007. LNCS, vol. 4616, pp. 62\u201371. Springer, Heidelberg (2007)"},{"issue":"7","key":"46_CR2","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.1016\/j.cor.2011.08.013","volume":"39","author":"YY Xiao","year":"2012","unstructured":"Xiao, Y.Y., Zhao, Q.H., Kaku, I., Xu, Y.C.: Development of a fuel consumption optimization model for the capacitated vehicle routing problem. Comput. Oper. Res. 39(7), 1419\u20131431 (2012)","journal-title":"Comput. Oper. Res."},{"issue":"8","key":"46_CR3","doi-asserted-by":"crossref","first-page":"1232","DOI":"10.1016\/j.trb.2011.02.004","volume":"45","author":"T Bektas","year":"2011","unstructured":"Bektas, T., Laporte, G.: The pollution-routing problem. Transp. Res. Part B 45(8), 1232\u20131250 (2011)","journal-title":"Transp. Res. Part B"},{"issue":"8","key":"46_CR4","doi-asserted-by":"crossref","first-page":"2985","DOI":"10.1016\/j.eswa.2012.12.014","volume":"40","author":"L Pradenas","year":"2013","unstructured":"Pradenas, L., Oportus, B.: Parada.: Mitigation of greenhouse gas emissions in vehicle routing problems with backhauling. Expert Syst. Appl. 40(8), 2985\u20132991 (2013)","journal-title":"Expert Syst. Appl."},{"key":"46_CR5","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.ijpe.2014.11.012","volume":"164","author":"A Zakeri","year":"2015","unstructured":"Zakeri, A., Dehghanian, F., Fahimnia, B., Sarkis, J.: Carbon pricing versus emissions trading: a supply chain planning perspective. Int. J. Prod. Econ. 164, 197\u2013205 (2015)","journal-title":"Int. J. Prod. Econ."},{"issue":"8","key":"46_CR6","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.trd.2013.04.001","volume":"23","author":"YJ Kwon","year":"2013","unstructured":"Kwon, Y.J., Choi, Y.J., Lee, D.H.: Heterogeneous fixed fleet vehicle routing considering carbon emission. Transp. Res. Part D 23(8), 81\u201389 (2013)","journal-title":"Transp. Res. Part D"},{"issue":"3","key":"46_CR7","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1109\/TEVC.2005.857610","volume":"10","author":"JJ Liang","year":"2006","unstructured":"Liang, J.J., Qin, A.K., Baskar, S.: Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans. Evol. Comput. 10(3), 281\u2013295 (2006)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"11","key":"46_CR8","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1109\/MHS.1995.494215","volume":"12","author":"R Eberchart","year":"1995","unstructured":"Eberchart, R., Kennedy, J.: A new optimizer using particle swarm theory. Proc. Int. Symp. Micro Mach. Hum. Sci. 12(11), 39\u201343 (1995)","journal-title":"Proc. Int. Symp. Micro Mach. Hum. Sci."},{"issue":"1","key":"46_CR9","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1016\/j.ijepes.2012.08.076","volume":"45","author":"A El-Zonkoly","year":"2013","unstructured":"El-Zonkoly, A., Saad, M., Khalil, R.: New algorithm based on CLPSO for controlled islanding of distribution systems. Electr. Power Energ. Syst. 45(1), 391\u2013403 (2013)","journal-title":"Electr. Power Energ. Syst."},{"issue":"2","key":"46_CR10","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1016\/j.asoc.2009.08.038","volume":"10","author":"K Mahadevan","year":"2010","unstructured":"Mahadevan, K., Kannan, P.S.: Comprehensive learning particle swarm optimization for reactive power dispatch. Appl. Soft Comput. 10(2), 641\u2013652 (2010)","journal-title":"Appl. Soft Comput."},{"key":"46_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1007\/978-3-319-22186-1_72","volume-title":"Intelligent Computing Theories and Methodologies","author":"X Gan","year":"2015","unstructured":"Gan, X., Liu, L., Niu, B., Tan, L.J., Zhang, F.F., Liu, J.: SRBFOs for solving the heterogeneous fixed fleet vehicle routing problem. In: Huang, D.-S., Jo, K.-H., Hussain, A. (eds.) ICIC 2015. LNCS, vol. 9226, pp. 725\u2013732. Springer, Heidelberg (2015)"},{"key":"46_CR12","doi-asserted-by":"crossref","unstructured":"Shi, Y., Eberhart, R.C.: A modified particle swarm optimizer. In: IEEE International Conference on Evolutionary Computation, pp. 69\u201373 (1998)","DOI":"10.1109\/ICEC.1998.699146"}],"container-title":["Lecture Notes in Computer Science","Advances in Swarm Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-41009-8_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T12:19:27Z","timestamp":1498306767000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-41009-8_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319410081","9783319410098"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-41009-8_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}