{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T07:35:05Z","timestamp":1725867305844},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319476490"},{"type":"electronic","value":"9783319476506"}],"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\/978-3-319-47650-6_33","type":"book-chapter","created":{"date-parts":[[2016,10,4]],"date-time":"2016-10-04T21:32:26Z","timestamp":1475616746000},"page":"414-425","source":"Crossref","is-referenced-by-count":3,"title":["Best Guided Backtracking Search Algorithm for Numerical Optimization Problems"],"prefix":"10.1007","author":[{"given":"Wenting","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Lijin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Bingqing","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yilong","family":"Yin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,10,5]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/1090.001.0001","volume-title":"Adaptation in Natural and Artificial Systems","author":"JH Holland","year":"1992","unstructured":"Holland, J.H.: Adaptation in Natural and Artificial Systems. MIT press, Cambridge (1992)"},{"key":"33_CR2","unstructured":"Storn, R., Price, K.: Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces. ICSI, Berkeley (1995)"},{"key":"33_CR3","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/3477.484436","volume":"26","author":"M Dorigo","year":"1996","unstructured":"Dorigo, M., Maniezzo, V., Colorni, A.: Ant system: optimization by a colony of cooperating agents. IEEE Trans. Syst. Man Cybern. Part B Cybern. 26, 29\u201341 (1996)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"key":"33_CR4","doi-asserted-by":"crossref","unstructured":"Eberhart, R., Kennedy, J.: A new optimizer using particle swarm theory. In: 6th International Symposium on Micro Machine and Human Science, pp. 39\u201343. IEEE Press, New York (1995)","DOI":"10.1109\/MHS.1995.494215"},{"key":"33_CR5","unstructured":"Karaboga, D.: An idea based on honey bee swarm for numerical optimization. Technical report, Erciyes University (2005)"},{"key":"33_CR6","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1109\/TEVC.2008.919004","volume":"12","author":"D Simon","year":"2008","unstructured":"Simon, D.: Biogeography-based optimization. IEEE Trans. Evol. Comput. 12, 702\u2013713 (2008)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"33_CR7","doi-asserted-by":"crossref","first-page":"8121","DOI":"10.1016\/j.amc.2013.02.017","volume":"219","author":"P Civicioglu","year":"2013","unstructured":"Civicioglu, P.: Backtracking search optimization algorithm for numerical optimization problems. Appl. Math. Comput. 219, 8121\u20138144 (2013)","journal-title":"Appl. Math. Comput."},{"key":"33_CR8","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.neucom.2015.03.041","volume":"166","author":"SK Agarwal","year":"2015","unstructured":"Agarwal, S.K., Shah, S., Kumar, R.: Classification of mental tasks from eeg data using backtracking search optimization based neural classifier. Neurocomputing 166, 397\u2013403 (2015)","journal-title":"Neurocomputing"},{"key":"33_CR9","doi-asserted-by":"crossref","first-page":"3267","DOI":"10.1016\/j.jfranklin.2015.04.015","volume":"352","author":"DD Yang","year":"2015","unstructured":"Yang, D.D., Ma, H.G., Xu, D.H., Zhang, B.H.: Fault measurement for siso system using the chaotic excitation. J. Franklin Inst. 352, 3267\u20133284 (2015)","journal-title":"J. Franklin Inst."},{"issue":"4","key":"33_CR10","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1080\/0952813X.2015.1042533","volume":"28","author":"S Mallick","year":"2016","unstructured":"Mallick, S., Kar, R., Mandal, D., Ghoshal, S.: CMOS analogue amplifier circuits optimisation using hybrid backtracking search algorithm with differential evolution. J. Exp. Theor. Artif. Intell. 28(4), 719\u2013749 (2016)","journal-title":"J. Exp. Theor. Artif. Intell."},{"key":"33_CR11","series-title":"Lecture Notes in Computer Science","first-page":"223","volume-title":"5th International Conference on Intelligence Science and Big Data Engineering","author":"Q Xu","year":"2015","unstructured":"Xu, Q., Guo, L., Wang, N., Li, X.: Opposition-based backtracking search algorithm for numerical optimization problems. In: He, X., Gao, X., Zhang, Y., Zhou, Z.-H., Liu, Z.-Y., Fu, B., Hu, F., Zhang, Z. (eds.) 5th International Conference on Intelligence Science and Big Data Engineering. LNCS, vol. 9243, pp. 223\u2013234. Springer, Switzerland (2015)"},{"issue":"12","key":"33_CR12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TMAG.2014.2342192","volume":"50","author":"H Duan","year":"2014","unstructured":"Duan, H., Luo, Q.: Adaptive backtracking search algorithm for induction magnetometer optimization. IEEE Trans. Mag. 50(12), 1\u20136 (2014)","journal-title":"IEEE Trans. Mag."},{"key":"33_CR13","doi-asserted-by":"crossref","first-page":"11165","DOI":"10.1016\/j.ijhydene.2014.05.052","volume":"39","author":"A Askarzadeh","year":"2014","unstructured":"Askarzadeh, A., Coelho, L.D.S.: A backtracking search algorithm combined with Burger\u2019s chaotic map for parameter estimation of PEMFC electrochemical model. Int. J. Hydrogen Energy 39, 11165\u201311174 (2014)","journal-title":"Int. J. Hydrogen Energy"},{"key":"33_CR14","first-page":"1","volume":"2015","author":"L Wang","year":"2015","unstructured":"Wang, L., Zhong, Y., Yin, Y., et al.: A hybrid backtracking search optimization algorithm with differential evolution. Math. Probl. Eng. 2015, 1 (2015)","journal-title":"Math. Probl. Eng."},{"key":"33_CR15","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1007\/978-3-319-12096-6_20","volume-title":"Knowledge Science, Engineering and Management","author":"W Zhao","year":"2014","unstructured":"Zhao, W., Wang, L., Yin, Y., Wang, B., Wei, Y., Yin, Y.: An improved backtracking search algorithm for constrained optimization problems. In: Buchmann, R., Kifor, C.V., Yu, J. (eds.) KSEM 2014. LNCS (LNAI), vol. 8793, pp. 222\u2013233. Springer, Heidelberg (2014). doi: 10.1007\/978-3-319-12096-6_20"},{"key":"33_CR16","unstructured":"Liang, J., Qu, B., Suganthan, P., Hernndez-Daz, A.G.: Problem definitions and evaluation criteria for the CEC 2013 special session on real-parameter optimization. Technical report, Singapore (2013)"},{"key":"33_CR17","doi-asserted-by":"crossref","unstructured":"Loshchilov, I.: CMA-ES with restarts for solving CEC 2013 benchmark problems. In: 2013 IEEE Congress on Evolutionary Computation, pp. 369\u2013376. IEEE Press (2013)","DOI":"10.1109\/CEC.2013.6557593"},{"key":"33_CR18","doi-asserted-by":"crossref","unstructured":"Nepomuceno, F.V., Engelbrecht, A.P.: A self-adaptive heterogeneous PSO for real-parameter optimization. In: 2013 IEEE Congress on Evolutionary Computation, pp. 361\u2013368. IEEE Press (2013)","DOI":"10.1109\/CEC.2013.6557592"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"Zambrano-Bigiarini, M., Clerc, M., Rojas, R.: Standard particle swarm optimisation 2011 at CEC-2013: a baseline for future PSO improvements. In: 2013 IEEE Congress on Evolutionary Computation, pp. 2337\u20132344. IEEE Press (2013)","DOI":"10.1109\/CEC.2013.6557848"},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"El-Abd, M.: Testing a particle swarm optimization and artificial bee colony hybrid algorithm on the CEC13 benchmarks. In: 2013 IEEE Congress on Evolutionary Computation, pp. 2215\u20132220. IEEE Press (2013)","DOI":"10.1109\/CEC.2013.6557832"},{"key":"33_CR21","doi-asserted-by":"crossref","unstructured":"Coelho, L.D.S., Ayala, V.H., Freire, R.Z.: Population\u2019s variance-based adaptive differential evolution for real parameter optimization. In: 2013 IEEE Congress on Evolutionary Computation, pp. 1672\u20131677. IEEE Press (2013)","DOI":"10.1109\/CEC.2013.6557762"},{"key":"33_CR22","doi-asserted-by":"crossref","first-page":"2066","DOI":"10.1109\/TCYB.2013.2239988","volume":"43","author":"WY Gong","year":"2013","unstructured":"Gong, W.Y., Cai, Z.H.: Differential evolution with rankingbased mutation operators. IEEE Trans. Cybern. 43, 2066\u20132081 (2013)","journal-title":"IEEE Trans. Cybern."}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-47650-6_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,26]],"date-time":"2020-09-26T12:00:47Z","timestamp":1601121647000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-47650-6_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319476490","9783319476506"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-47650-6_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}