{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T14:01:11Z","timestamp":1764079271989},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319630038"},{"type":"electronic","value":"9783319630045"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-63004-5_8","type":"book-chapter","created":{"date-parts":[[2017,7,7]],"date-time":"2017-07-07T21:34:07Z","timestamp":1499463247000},"page":"93-105","source":"Crossref","is-referenced-by-count":3,"title":["Enhanced Pareto Interpolation Method to Aid Decision Making for Discontinuous Pareto Optimal Fronts"],"prefix":"10.1007","author":[{"given":"Kalyan Shankar","family":"Bhattacharjee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hemant Kumar","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tapabrata","family":"Ray","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,9]]},"reference":[{"issue":"3","key":"8_CR1","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1109\/TEVC.2014.2339823","volume":"19","author":"M Asafuddoula","year":"2015","unstructured":"Asafuddoula, M., Ray, T., Sarker, R.: A decomposition-based evolutionary algorithm for many objective optimization. IEEE Trans. Evol. Comput. 19(3), 445\u2013460 (2015)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"8_CR2","unstructured":"Bhattacharjee, K.S., Singh, H.K., Ray, T.: http:\/\/www.mdolab.net\/Ray\/Research-Data\/AI-Polytope-dataset.zip (2017)"},{"key":"8_CR3","first-page":"1","volume":"68","author":"KS Bhattacharjee","year":"2016","unstructured":"Bhattacharjee, K.S., Singh, H.K., Ray, T.: An approach to generate comprehensive piecewise linear interpolation of Pareto outcomes to aid decision making. J. Global Optim. 68, 1\u201323 (2016)","journal-title":"J. Global Optim."},{"key":"8_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1007\/978-3-319-28270-1_6","volume-title":"Artificial Life and Computational Intelligence","author":"KS Bhattacharjee","year":"2016","unstructured":"Bhattacharjee, K.S., Singh, H.K., Ray, T.: A study on performance metrics to identify solutions of interest from a trade-off set. In: Ray, T., Sarker, R., Li, X. (eds.) ACALCI 2016. LNCS, vol. 9592, pp. 66\u201377. Springer, Cham (2016). doi: 10.1007\/978-3-319-28270-1_6"},{"issue":"3","key":"8_CR5","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1137\/S1052623496307510","volume":"8","author":"I Das","year":"1998","unstructured":"Das, I., Dennis, J.E.: Normal-bounday intersection: a new method for generating pareto optimal points in multicriteria optimization problems. SIAM J. Optim. 8(3), 631\u2013657 (1998)","journal-title":"SIAM J. Optim."},{"key":"8_CR6","volume-title":"Multi-objective Optimization Using Evolutionary Algorithms","author":"K Deb","year":"2001","unstructured":"Deb, K.: Multi-objective Optimization Using Evolutionary Algorithms, vol. 16. Wiley, Hoboken (2001)"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable multi-objective optimization test problems. In: Proceedings of the IEEE Congress on Evolutionary Computation, pp. 825\u2013830. IEEE, Honolulu (2002)","DOI":"10.1109\/CEC.2002.1007032"},{"issue":"2","key":"8_CR8","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s10898-014-0232-9","volume":"62","author":"M Hartikainen","year":"2014","unstructured":"Hartikainen, M., Lovison, A.: PAINT-SiCon: constructing consistent parametric representations of Pareto sets in nonconvex multiobjective optimization. J. Global Optim. 62(2), 243\u2013261 (2014)","journal-title":"J. Global Optim."},{"issue":"2","key":"8_CR9","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/s00186-010-0343-0","volume":"73","author":"M Hartikainen","year":"2011","unstructured":"Hartikainen, M., Miettinen, K., Wiecek, M.M.: Constructing a Pareto front approximation for decision making. Math. Methods Oper. Res. 73(2), 209\u2013234 (2011)","journal-title":"Math. Methods Oper. Res."},{"issue":"3","key":"8_CR10","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1007\/s10589-011-9441-z","volume":"52","author":"M Hartikainen","year":"2012","unstructured":"Hartikainen, M., Miettinen, K., Wiecek, M.M.: PAINT: Pareto front interpolation for nonlinear multiobjective optimization. Comput. Optim. Appl. 52(3), 845\u2013867 (2012)","journal-title":"Comput. Optim. Appl."},{"issue":"5","key":"8_CR11","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1109\/TEVC.2014.2373386","volume":"19","author":"K Li","year":"2015","unstructured":"Li, K., Deb, K., Zhang, Q., Kwong, S.: An evolutionary many-objective optimization algorithm based on dominance and decomposition. IEEE Trans. Evol. Comput. 19(5), 694\u2013716 (2015)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"3","key":"8_CR12","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1007\/s10957-005-5494-4","volume":"126","author":"S Ruzika","year":"2005","unstructured":"Ruzika, S., Wiecek, M.M.: Approximation methods in multiobjective programming. J. Optim. Theory Appl. 126(3), 473\u2013501 (2005)","journal-title":"J. Optim. Theory Appl."},{"key":"8_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/978-3-319-28270-1_17","volume-title":"Artificial Life and Computational Intelligence","author":"HK Singh","year":"2016","unstructured":"Singh, H.K., Alam, K., Ray, T.: Use of infeasible solutions during constrained evolutionary search: a short survey. In: Ray, T., Sarker, R., Li, X. (eds.) ACALCI 2016. LNCS, vol. 9592, pp. 193\u2013205. Springer, Cham (2016). doi: 10.1007\/978-3-319-28270-1_17"},{"issue":"9","key":"8_CR14","doi-asserted-by":"crossref","first-page":"091404","DOI":"10.1115\/1.4033991","volume":"138","author":"HK Singh","year":"2016","unstructured":"Singh, H.K., Bhattacharjee, K.S., Ray, T.: A projection-based approach for constructing piecewise linear pareto front approximations. J. Mech. Des. 138(9), 091404 (2016)","journal-title":"J. Mech. Des."},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Van Veldhuizen, D.A.: Multiobjective evolutionary algorithms: classifications, analyses, and new innovations. Ph.D. thesis, Air Force Institute of Technology (1999)","DOI":"10.1145\/298151.298382"}],"container-title":["Lecture Notes in Computer Science","AI 2017: Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-63004-5_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,28]],"date-time":"2019-09-28T23:02:05Z","timestamp":1569711725000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-63004-5_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319630038","9783319630045"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-63004-5_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}