{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:04:14Z","timestamp":1760709854357},"publisher-location":"Cham","reference-count":51,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030141172"},{"type":"electronic","value":"9783030141189"}],"license":[{"start":{"date-parts":[[2019,3,17]],"date-time":"2019-03-17T00:00:00Z","timestamp":1552780800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-14118-9_15","type":"book-chapter","created":{"date-parts":[[2019,3,16]],"date-time":"2019-03-16T11:02:59Z","timestamp":1552734179000},"page":"143-155","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A Hybridization of Sine Cosine Algorithm with Steady State Genetic Algorithm for Engineering Design Problems"],"prefix":"10.1007","author":[{"given":"M. A.","family":"El-Shorbagy","sequence":"first","affiliation":[]},{"given":"M. A.","family":"Farag","sequence":"additional","affiliation":[]},{"given":"A. A.","family":"Mousa","sequence":"additional","affiliation":[]},{"given":"I. M.","family":"El-Desoky","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,17]]},"reference":[{"key":"15_CR1","volume-title":"Engineering Optimization: Theory and Practice","author":"SS Rao","year":"2009","unstructured":"Rao, S.S.: Engineering Optimization: Theory and Practice. Wiley, Hoboken (2009)"},{"issue":"5","key":"15_CR2","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1108\/02644401211235834","volume":"29","author":"XS Yang","year":"2012","unstructured":"Yang, X.S., Hossein Gandomi, A.: Bat algorithm: a novel approach for global engineering optimization. Eng. Comput. 29(5), 464\u2013483 (2012)","journal-title":"Eng. Comput."},{"issue":"2","key":"15_CR3","first-page":"249","volume":"5","author":"RM Rizk-Allah","year":"2018","unstructured":"Rizk-Allah, R.M.: Hybridizing sine cosine algorithm with multi-orthogonal search strategy for engineering design problems. J. Comput. Des. Eng. 5(2), 249\u2013273 (2018)","journal-title":"J. Comput. Des. Eng."},{"issue":"4","key":"15_CR4","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1007\/s00224-004-1177-z","volume":"39","author":"S Droste","year":"2006","unstructured":"Droste, S., Jansen, T., Wegener, I.: Upper and lower bounds for randomized search heuristics in black-box optimization. Theor. Comput. Syst. 39(4), 525\u2013544 (2006)","journal-title":"Theor. Comput. Syst."},{"key":"15_CR5","volume-title":"Adaptation in Natural and Artificial Systems: An Introductory Analysis with Application to Biology, Control and Artificial Intelligence","author":"J Holland","year":"1975","unstructured":"Holland, J.: Adaptation in Natural and Artificial Systems: An Introductory Analysis with Application to Biology, Control and Artificial Intelligence. MIT Press, Cambridge (1975)"},{"issue":"18","key":"15_CR6","first-page":"4","volume":"47","author":"B He","year":"2011","unstructured":"He, B., Che, L., Liu, C.: Novel hybrid shuffled frog leaping and differential evolution algorithm. Jisuanji Gongcheng yu Yingyong (Comput. Eng. Appl.) 47(18), 4\u20138 (2011)","journal-title":"Jisuanji Gongcheng yu Yingyong (Comput. Eng. Appl.)"},{"key":"15_CR7","unstructured":"Eberhart, R., Kennedy, J.: A new optimizer using particle swarm theory. In: 1995 Proceedings of the Sixth International Symposium on Micro Machine and Human Science, MHS 1995, pp. 39\u201343. IEEE, October 1995\u200f"},{"issue":"2","key":"15_CR8","first-page":"55","volume":"3","author":"K Lenin","year":"2015","unstructured":"Lenin, K., Reddy, B.R., Kalavathi, M.S.: Modified monkey optimization algorithm for solving optimal reactive power dispatch problem. Indones. J. Electr. Eng. Inform. (IJEEI) 3(2), 55\u201362 (2015)","journal-title":"Indones. J. Electr. Eng. Inform. (IJEEI)"},{"key":"15_CR9","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1007\/978-981-10-3614-9_24","volume-title":"Bio-Inspired Computing-Theories and Applications","author":"Y Zhou","year":"2016","unstructured":"Zhou, Y., Wang, J., Gao, S., Yang, X., Yin, J.: Improving artificial bee colony algorithm with historical archive. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds.) Bio-Inspired Computing-Theories and Applications, pp. 185\u2013190. Springer, Singapore (2016)"},{"key":"15_CR10","doi-asserted-by":"crossref","unstructured":"Xu, H., Liu, X., Su, J.: An improved grey wolf optimizer algorithm integrated with cuckoo Search. In: 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), vol. 1, pp. 490\u2013493. IEEE, September 2017\u200f","DOI":"10.1109\/IDAACS.2017.8095129"},{"key":"15_CR11","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.knosys.2015.12.022","volume":"96","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili, S.: SCA: a sine cosine algorithm for solving optimization problems. Knowl.-Based Syst. 96, 120\u2013133 (2016)","journal-title":"Knowl.-Based Syst."},{"key":"15_CR12","unstructured":"Monteiro-Filho, J.B., Albuquerque, I.M.C., Neto, F.L.: Fish School Search Algorithm for Constrained Optimization.\u00a0arXiv preprint \n                    arXiv:1707.06169\n                    \n                   (2017)"},{"issue":"3\u20134","key":"15_CR13","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1007\/s00521-013-1525-5","volume":"25","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili, S., Mirjalili, S.M., Yang, X.S.: Binary bat algorithm. Neural Comput. Appl. 25(3\u20134), 663\u2013681 (2014)","journal-title":"Neural Comput. Appl."},{"issue":"15","key":"15_CR14","doi-asserted-by":"crossref","first-page":"4297","DOI":"10.1007\/s00500-016-2062-9","volume":"21","author":"H Wang","year":"2017","unstructured":"Wang, H., Wang, W., Sun, H., Cui, Z., Rahnamayan, S., Zeng, S.: A new cuckoo search algorithm with hybrid strategies for flow shop scheduling problems. Soft. Comput. 21(15), 4297\u20134307 (2017)","journal-title":"Soft. Comput."},{"key":"15_CR15","volume-title":"Stochastic local search: Foundations and applications","author":"HH Hoos","year":"2004","unstructured":"Hoos, H.H., St\u00fctzle, T.: Stochastic local search: Foundations and applications. Elsevier, Amsterdam (2004)"},{"issue":"6","key":"15_CR16","first-page":"1681","volume":"11","author":"AA Mousa","year":"2017","unstructured":"Mousa, A.A., El-Shorbagy, M.A., Farag, M.A.: K-means-clustering based evolutionary algorithm for multi-objective resource allocation problems. Appl. Math 11(6), 1681\u20131692 (2017)","journal-title":"Appl. Math"},{"issue":"11","key":"15_CR17","doi-asserted-by":"crossref","first-page":"1873","DOI":"10.4236\/am.2015.611165","volume":"6","author":"MA Farag","year":"2015","unstructured":"Farag, M.A., El-Shorbagy, M.A., El-Desoky, I.M., El-Sawy, A.A., Mousa, A.A.: Binary-real coded genetic algorithm based k-Means clustering for unit commitment problem. Appl. Math. 6(11), 1873 (2015)","journal-title":"Appl. Math."},{"issue":"20","key":"15_CR18","doi-asserted-by":"crossref","first-page":"2978","DOI":"10.9734\/BJMCS\/2014\/11526","volume":"4","author":"MA Hussein","year":"2014","unstructured":"Hussein, M.A., EL-Sawy, A.A., Zaki, E.S.M., Mousa, A.A.: Genetic algorithm and rough sets based hybrid approach for economic environmental dispatch of power systems. Br. J. Math. Comput. Sci. 4(20), 2978 (2014)","journal-title":"Br. J. Math. Comput. Sci."},{"issue":"8","key":"15_CR19","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1016\/S0010-4485(03)00003-4","volume":"35","author":"G Renner","year":"2003","unstructured":"Renner, G., Ek\u00e1rt, A.: Genetic algorithms in computer aided design. Comput. Aided Des. 35(8), 709\u2013726 (2003)","journal-title":"Comput. Aided Des."},{"key":"15_CR20","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.swevo.2016.12.001","volume":"34","author":"S Iqbal","year":"2017","unstructured":"Iqbal, S., Hoque, M.T.: hGRGA: a scalable genetic algorithm using homologous gene schema replacement. Swarm Evol. Comput. 34, 33\u201349 (2017)","journal-title":"Swarm Evol. Comput."},{"issue":"23","key":"15_CR21","doi-asserted-by":"crossref","first-page":"4421","DOI":"10.1016\/j.ins.2008.07.031","volume":"178","author":"M Lozano","year":"2008","unstructured":"Lozano, M., Herrera, F., Cano, J.R.: Replacement strategies to preserve useful diversity in steady-state genetic algorithms. Inf. Sci. 178(23), 4421\u20134433 (2008)","journal-title":"Inf. Sci."},{"issue":"1","key":"15_CR22","doi-asserted-by":"crossref","first-page":"80","DOI":"10.9734\/BJMCS\/2015\/9086","volume":"8","author":"MA Farag","year":"2015","unstructured":"Farag, M.A., El-Shorbagy, M.A., El-Desoky, I.M., El-Sawy, A.A., Mousa, A.A.: Genetic algorithm based on k-means-clustering technique for multi-objective resource allocation problems. Br. J. Math. Comput. Sci. 8(1), 80\u201396 (2015)","journal-title":"Br. J. Math. Comput. Sci."},{"key":"15_CR23","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.ijepes.2014.12.091","volume":"69","author":"EE Elattar","year":"2015","unstructured":"Elattar, E.E.: A hybrid genetic algorithm and bacterial foraging approach for dynamic economic dispatch problem. Int. J. Electr. Power Energy Syst. 69, 18\u201326 (2015)","journal-title":"Int. J. Electr. Power Energy Syst."},{"issue":"2","key":"15_CR24","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1016\/j.cie.2007.05.012","volume":"56","author":"F Altiparmak","year":"2009","unstructured":"Altiparmak, F., Gen, M., Lin, L., Karaoglan, I.: A steady-state genetic algorithm for multi-product supply chain network design. Comput. Ind. Eng. 56(2), 521\u2013537 (2009)","journal-title":"Comput. Ind. Eng."},{"key":"15_CR25","doi-asserted-by":"crossref","unstructured":"Nenavath, H., Jatoth, R. K., Das, S.: A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking. Swarm and Evolutionary Computation (2018)\u200f","DOI":"10.1016\/j.swevo.2018.02.011"},{"key":"15_CR26","volume-title":"Genetic Algorithms and Engineering Optimization","author":"M Gen","year":"2000","unstructured":"Gen, M., Cheng, R.: Genetic Algorithms and Engineering Optimization, vol. 7. Wiley, Hoboken (2000)"},{"issue":"3","key":"15_CR27","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/S0951-8320(99)00074-5","volume":"67","author":"S Martorell","year":"2000","unstructured":"Martorell, S., Carlos, S., Sanchez, A., Serradell, V.: Constrained optimization of test intervals using a steady-state genetic algorithm. Reliab. Eng. Syst. Saf. 67(3), 215\u2013232 (2000)","journal-title":"Reliab. Eng. Syst. Saf."},{"issue":"3","key":"15_CR28","first-page":"378","volume":"5","author":"S Ekiz","year":"2017","unstructured":"Ekiz, S.: Solving constrained optimization problems with sine-cosine algorithm. Period. Eng. Nat. Sci. (PEN) 5(3), 378\u2013386 (2017)","journal-title":"Period. Eng. Nat. Sci. (PEN)"},{"issue":"2","key":"15_CR29","first-page":"391","volume":"155","author":"MS Osman","year":"2004","unstructured":"Osman, M.S., Abo-Sinna, M.A., Mousa, A.A.: A solution to the optimal power flow using genetic algorithm. Appl. Math. Comput. 155(2), 391\u2013405 (2004)","journal-title":"Appl. Math. Comput."},{"issue":"07","key":"15_CR30","doi-asserted-by":"crossref","first-page":"890","DOI":"10.4236\/am.2011.27119","volume":"2","author":"AA Mousa","year":"2011","unstructured":"Mousa, A.A., Kotb, K.A.: A hybrid optimization technique coupling an evolutionary and a local search algorithm for economic emission load dispatch problem. Appl. Math. 2(07), 890 (2011)","journal-title":"Appl. Math."},{"issue":"1","key":"15_CR31","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s00366-011-0241-y","volume":"29","author":"AH Gandomi","year":"2013","unstructured":"Gandomi, A.H., Yang, X.S., Alavi, A.H.: Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Engineering with Computers 29(1), 17\u201335 (2013)","journal-title":"Engineering with Computers"},{"key":"15_CR32","doi-asserted-by":"crossref","unstructured":"Brajevi\u0107, I., Ignjatovi\u0107, J.: An upgraded firefly algorithm with feasibility-based rules for constrained engineering optimization problems. J. Intell. Manuf. 1\u201330 (2018)","DOI":"10.1007\/s10845-018-1419-6"},{"key":"15_CR33","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.eswa.2018.05.027","volume":"110","author":"MP Ferreira","year":"2018","unstructured":"Ferreira, M.P., Rocha, M.L., Neto, A.J.S., Sacco, W.F.: A constrained ITGO heuristic applied to engineering optimization. Expert Syst. Appl. 110, 106\u2013124 (2018)","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"15_CR34","doi-asserted-by":"crossref","first-page":"1001","DOI":"10.1007\/s10845-010-0393-4","volume":"23","author":"B Akay","year":"2012","unstructured":"Akay, B., Karaboga, D.: Artificial bee colony algorithm for large-scale problems and engineering design optimization. J. Intell. Manuf. 23(4), 1001\u20131014 (2012)","journal-title":"J. Intell. Manuf."},{"key":"15_CR35","doi-asserted-by":"crossref","DOI":"10.1002\/9780470640425","volume-title":"Engineering Optimization: An Introduction with Metaheuristic Applications","author":"XS Yang","year":"2010","unstructured":"Yang, X.S.: Engineering Optimization: An Introduction with Metaheuristic Applications. Wiley, Hoboken (2010)"},{"key":"15_CR36","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/j.asoc.2015.10.048","volume":"40","author":"NB Guedria","year":"2016","unstructured":"Guedria, N.B.: Improved accelerated PSO algorithm for mechanical engineering optimization problems. Appl. Soft Comput. 40, 455\u2013467 (2016)","journal-title":"Appl. Soft Comput."},{"key":"15_CR37","volume-title":"Introduction to Optimum Design","author":"JS Arora","year":"1989","unstructured":"Arora, J.S.: Introduction to Optimum Design. McGraw-Hill Book Company, New York (1989)"},{"key":"15_CR38","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.knosys.2017.12.031","volume":"144","author":"L Wu","year":"2018","unstructured":"Wu, L., Liu, Q., Tian, X., Zhang, J., Xiao, W.: A new improved fruit fly optimization algorithm IAFOA and its application to solve engineering optimization problems. Knowl.-Based Syst. 144, 153\u2013173 (2018)","journal-title":"Knowl.-Based Syst."},{"issue":"2","key":"15_CR39","first-page":"1567","volume":"188","author":"M Mahdavi","year":"2007","unstructured":"Mahdavi, M., Fesanghary, M., Damangir, E.: An improved harmony search algorithm for solving optimization problems. Appl. Math. Comput. 188(2), 1567\u20131579 (2007)","journal-title":"Appl. Math. Comput."},{"issue":"11","key":"15_CR40","doi-asserted-by":"crossref","first-page":"2469","DOI":"10.1016\/S1874-1029(14)60398-0","volume":"40","author":"GAO Wei-Shang","year":"2014","unstructured":"Wei-Shang, G.A.O., Cheng, S.H.A.O.: Iterative dynamic diversity evolutionary algorithm for constrained optimization. Acta Automatica Sin. 40(11), 2469\u20132479 (2014)","journal-title":"Acta Automatica Sin."},{"key":"15_CR41","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","volume":"114","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili, S., Gandomi, A.H., Mirjalili, S.Z., Saremi, S., Faris, H., Mirjalili, S.M.: Salp swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv. Eng. Softw. 114, 163\u2013191 (2017)","journal-title":"Adv. Eng. Softw."},{"issue":"1","key":"15_CR42","first-page":"340","volume":"186","author":"FZ Huang","year":"2007","unstructured":"Huang, F.Z., Wang, L., He, Q.: An effective co-evolutionary differential evolution for constrained optimization. Appl. Math. Comput. 186(1), 340\u2013356 (2007)","journal-title":"Appl. Math. Comput."},{"issue":"11","key":"15_CR43","doi-asserted-by":"crossref","first-page":"1501","DOI":"10.1002\/nme.2451","volume":"77","author":"Y Wang","year":"2009","unstructured":"Wang, Y., Cai, Z., Zhou, Y.: Accelerating adaptive trade-off model using shrinking space technique for constrained evolutionary optimization. Int. J. Numer. Meth. Eng. 77(11), 1501\u20131534 (2009)","journal-title":"Int. J. Numer. Meth. Eng."},{"key":"15_CR44","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.apm.2018.03.005","volume":"60","author":"W Long","year":"2018","unstructured":"Long, W., Jiao, J., Liang, X., Tang, M.: Inspired grey wolf optimizer for solving large-scale function optimization problems. Appl. Math. Model. 60, 112\u2013126 (2018)","journal-title":"Appl. Math. Model."},{"issue":"6","key":"15_CR45","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1007\/s00158-009-0454-5","volume":"41","author":"L Wang","year":"2010","unstructured":"Wang, L., Li, L.P.: An effective differential evolution with level comparison for constrained engineering design. Struct. Multidiscip. Optim. 41(6), 947\u2013963 (2010)","journal-title":"Struct. Multidiscip. Optim."},{"issue":"1","key":"15_CR46","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.engappai.2006.03.003","volume":"20","author":"Q He","year":"2007","unstructured":"He, Q., Wang, L.: An effective co-evolutionary particle swarm optimization for constrained engineering design problems. Eng. Appl. Artif. Intell. 20(1), 89\u201399 (2007)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"15_CR47","doi-asserted-by":"crossref","unstructured":"Mezura-Montes, E., Coello, C.A.C.: Useful infeasible solutions in engineering optimization with evolutionary algorithms. In: Mexican International Conference on Artificial Intelligence, pp. 652\u2013662. Springer, Berlin, Heidelberg, November 2005","DOI":"10.1007\/11579427_66"},{"issue":"5","key":"15_CR48","doi-asserted-by":"crossref","first-page":"2592","DOI":"10.1016\/j.asoc.2012.11.026","volume":"13","author":"A Sadollah","year":"2013","unstructured":"Sadollah, A., Bahreininejad, A., Eskandar, H., Hamdi, M.: Mine blast algorithm: a new population based algorithm for solving constrained engineering optimization problems. Appl. Soft Comput. 13(5), 2592\u20132612 (2013)","journal-title":"Appl. Soft Comput."},{"key":"15_CR49","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili, S., Mirjalili, S.M., Lewis, A.: Grey wolf optimizer. Adv. Eng. Softw. 69, 46\u201361 (2014)","journal-title":"Adv. Eng. Softw."},{"key":"15_CR50","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.eswa.2017.04.023","volume":"83","author":"MA El Aziz","year":"2017","unstructured":"El Aziz, M.A., Ewees, A.A., Hassanien, A.E.: Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation. Expert Syst. Appl. 83, 242\u2013256 (2017)","journal-title":"Expert Syst. Appl."},{"key":"15_CR51","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.patrec.2016.10.007","volume":"93","author":"A Tharwat","year":"2017","unstructured":"Tharwat, A., Hassanien, A.E., Elnaghi, B.E.: A ba-based algorithm for parameter optimization of support vector machine. Pattern Recogn. Lett. 93, 13\u201322 (2017)","journal-title":"Pattern Recogn. Lett."}],"container-title":["Advances in Intelligent Systems and Computing","The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-14118-9_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T02:49:04Z","timestamp":1558147744000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-14118-9_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,17]]},"ISBN":["9783030141172","9783030141189"],"references-count":51,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-14118-9_15","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,3,17]]},"assertion":[{"value":"17 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AMLTA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Machine Learning Technologies and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cairo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Egypt","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 March 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 March 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"amlta2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/egyptscience.net\/AMLTA19\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}