{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:21:34Z","timestamp":1743114094531,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030700416"},{"type":"electronic","value":"9783030700423"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","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":[[2021]]},"DOI":"10.1007\/978-3-030-70042-3_122","type":"book-chapter","created":{"date-parts":[[2021,3,10]],"date-time":"2021-03-10T12:03:39Z","timestamp":1615377819000},"page":"869-875","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Stability of Vector Optimization Problems"],"prefix":"10.1007","author":[{"given":"Xianzheng","family":"Dong","sequence":"first","affiliation":[]},{"given":"Chi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Lizhi","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,3,11]]},"reference":[{"key":"122_CR1","unstructured":"Hayakawa, R., Hayashi, K.: Asymptotic performance of discrete-valued vector reconstruction via box-constrained optimization with sum of \u21131 regularizers. IEEE Trans. Signal Process. 68, 4320\u20134335 (2020)"},{"issue":"1","key":"122_CR2","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/s12652-017-0655-5","volume":"10","author":"M Prabukumar","year":"2019","unstructured":"Prabukumar, M., Agilandeeswari, L., Ganesan, K.: An intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier. J. Amb. Intell. Humaniz. Comput. 10(1), 267\u2013293 (2019)","journal-title":"J. Amb. Intell. Humaniz. Comput."},{"issue":"2","key":"122_CR3","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s10666-018-9633-3","volume":"24","author":"X Li","year":"2019","unstructured":"Li, X., Luo, A., Li, J., et al.: Air pollutant concentration forecast based on support vector regression and quantum-behaved particle swarm optimization. Environ. Model. Assess. 24(2), 205\u2013222 (2019)","journal-title":"Environ. Model. Assess."},{"issue":"3","key":"122_CR4","doi-asserted-by":"publisher","first-page":"2655","DOI":"10.30534\/ijatcse\/2020\/25932020","volume":"9","author":"S Amaran","year":"2020","unstructured":"Amaran, S.: An optimal grey wolf optimization with fuzzy support vector machine based intrusion detection system in clustered wireless sensor networks. Int. J. Adv. Trends Comput. Sci. Eng. 9(3), 2655\u20132661 (2020)","journal-title":"Int. J. Adv. Trends Comput. Sci. Eng."},{"issue":"5\u20136","key":"122_CR5","first-page":"1","volume":"107","author":"JW Ma","year":"2020","unstructured":"Ma, J.W., Hu, G.Q., Qin, F.Z., et al.: Global tool axis vector optimization based on the minimum angular acceleration of rotary axes. Int. J. Adv. Manuf. Technol. 107(5\u20136), 1\u20136 (2020)","journal-title":"Int. J. Adv. Manuf. Technol."},{"issue":"3","key":"122_CR6","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1007\/s10473-020-0320-5","volume":"40","author":"T Antczak","year":"2020","unstructured":"Antczak, T., Pandey, Y., Singh, V., et al.: On Approximate efficiency for nonsmooth robust vector optimization problems. Acta Mathematica Scientia 40(3), 887\u2013902 (2020)","journal-title":"Acta Mathematica Scientia"},{"issue":"1","key":"122_CR7","doi-asserted-by":"publisher","first-page":"86","DOI":"10.3844\/jmssp.2019.86.98","volume":"15","author":"T Antczak","year":"2019","unstructured":"Antczak, T., Abdulaleem, N.: E-saddle point criteria for E-differentiable vector optimization problems with inequality and equality constraints. J. Math. Stat. 15(1), 86\u201398 (2019)","journal-title":"J. Math. Stat."},{"issue":"4","key":"122_CR8","doi-asserted-by":"publisher","first-page":"2677","DOI":"10.1137\/19M1246286","volume":"29","author":"C Guti\u00e9rrez","year":"2019","unstructured":"Guti\u00e9rrez, C., Huerga, L., Novo, V., et al.: Limit behavior of approximate proper solutions in vector optimization. SIAM J. Optim. 29(4), 2677\u20132696 (2019)","journal-title":"SIAM J. Optim."},{"issue":"5","key":"122_CR9","first-page":"1225","volume":"21","author":"N Dinh","year":"2020","unstructured":"Dinh, N., Long, N.H., Mo, T.H., et al.: Approximate Farkas lemma for vector systems with application to convex vector optimization problems. J. Nonlinear Convex Anal. 21(5), 1225\u20131246 (2020)","journal-title":"J. Nonlinear Convex Anal."},{"issue":"2","key":"122_CR10","first-page":"329","volume":"69","author":"Y Wang","year":"2020","unstructured":"Wang, Y., Li, X.B., Liou, Y.C.: Set convergence of non-convex vector optimization problem with variable ordering structure. Mathematische Operationsforschung und Statistik. Ser. Optim. 69(2), 329\u2013344 (2020)","journal-title":"Mathematische Operationsforschung und Statistik. Ser. Optim."}],"container-title":["Advances in Intelligent Systems and Computing","Cyber Security Intelligence and Analytics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-70042-3_122","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,10]],"date-time":"2021-03-10T12:55:10Z","timestamp":1615380910000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-70042-3_122"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030700416","9783030700423"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-70042-3_122","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"11 March 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The International Conference on Cyber Security Intelligence and Analytics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenyang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 March 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 March 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csia2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/csia2021.com.cn","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}