{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T04:16:07Z","timestamp":1750997767618,"version":"3.41.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319697086"},{"type":"electronic","value":"9783319697109"}],"license":[{"start":{"date-parts":[[2017,11,11]],"date-time":"2017-11-11T00:00:00Z","timestamp":1510358400000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-69710-9_1","type":"book-chapter","created":{"date-parts":[[2017,11,10]],"date-time":"2017-11-10T19:25:34Z","timestamp":1510341934000},"page":"3-17","source":"Crossref","is-referenced-by-count":1,"title":["Aggregate Selection in Multi-objective Biochemical Optimization via the Average Cuboid Volume Indicator"],"prefix":"10.1007","author":[{"given":"Susanne","family":"Rosenthal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernd","family":"Freisleben","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Markus","family":"Borschbach","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,11,11]]},"reference":[{"key":"1_CR1","volume-title":"Peptide-Based Drug Design: Methods and Protocols","author":"L Otvos","year":"2000","unstructured":"Otvos, L.: Peptide-Based Drug Design: Methods and Protocols. Humana Press Inc., Totowa (2000)"},{"key":"1_CR2","doi-asserted-by":"crossref","DOI":"10.1201\/9781482273960","volume-title":"Evolutionary Computation","author":"D Dumitrescu","year":"2000","unstructured":"Dumitrescu, D., Lazzerini, B., Jain, L.C., et al.: Evolutionary Computation. CRC Press LLC, Boca Raton (2000)"},{"key":"1_CR3","doi-asserted-by":"crossref","unstructured":"B\u00e4ck, T.: Selective pressure in evolutionary algorithms: a characterization of selection mechanisms. In: First IEEE Conference on Evolutionary Computing, vol. 1, pp. 57\u201362 (1994)","DOI":"10.1109\/ICEC.1994.350042"},{"issue":"4","key":"1_CR4","doi-asserted-by":"crossref","first-page":"365","DOI":"10.7763\/IJMLC.2012.V2.146","volume":"2","author":"R Kumar","year":"2012","unstructured":"Kumar, R.: Blending roulette wheel selection and rank selection in genetic algorithms. Int. J. Mach. Learn. Comput. 2(4), 365\u2013370 (2012)","journal-title":"Int. J. Mach. Learn. Comput."},{"key":"1_CR5","unstructured":"Zhong, J., Hu, X., Gu, M., et al.: Comparison of performance between different selection strategies on simple genetic algorithms. In: Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automations (2005)"},{"key":"1_CR6","unstructured":"Baker, J.: Adaptive selection methods for genetic algorithms. In: Proceedings of an International Conference on Genetic Algorithms, pp. 101\u2013111 (1985)"},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Emmerich, M., Beume, N., Naujoks, B.: An EMO algorithm using the hypervolume measure as selection criterion. In: EMO 2005. LNCS, vol. 3410, pp. 62\u201376 (2005)","DOI":"10.1007\/978-3-540-31880-4_5"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Zitzler, E., K\u00fcnzli, S.: Indicator-based selection in multiobjective search. In: Proceedings of the Eighth International Conference on Parallel Problem Solving from Nature PPSN VIII, pp. 832\u2013842 (2004)","DOI":"10.1007\/978-3-540-30217-9_84"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Phan, D.H., Suzuki, J.: R2-Indicator based evolutionary algorithm for multiobjective optimization. In: Congress on Evolutionary Computation (CEC 2013), pp. 1836\u20131845 (2013)","DOI":"10.1109\/CEC.2013.6557783"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Trautmann, H., Wagner, T., Brockhoff, D.: R2-EMOA: focused multiobjective search using R2-indicator-based selection. In: Learning and Intelligent Optimization, pp. 70\u201374 (2013)","DOI":"10.1007\/978-3-642-44973-4_8"},{"key":"1_CR11","doi-asserted-by":"crossref","unstructured":"Wagner, T., Trautmann, H., Brockhoff, D.: Reference articulation by means of the R2 indicator. In: Evolutionary Multi-criterion Optimization (EMO 2013), vol. 7811, pp. 81\u201395 (2013)","DOI":"10.1007\/978-3-642-37140-0_10"},{"key":"1_CR12","doi-asserted-by":"crossref","unstructured":"Rosenthal, S., El-Sourani, N., Borschbach, M.: Introduction of a mutation specific fast non-dominated sorting GA evolved for biochemical optimization. In: SEAL 2012. LNCS, vol. 7673, pp. 158\u2013167 (2012)","DOI":"10.1007\/978-3-642-34859-4_16"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Rosenthal, S., El-Sourani, N., Borschbach, M.: Impact of different recombination methods in a mutation-specific MOEA for a biochemical application. In: Vanneschi, L., Bush, W.S., Giacobini, M. (eds.) EvoBIO 2013. LNCS, vol. 7833, pp. 188\u2013199 (2013)","DOI":"10.1007\/978-3-642-37189-9_17"},{"key":"1_CR14","doi-asserted-by":"crossref","unstructured":"Rosenthal, S., Borschbach, M.: A benchmark on the interaction of basic variation operators in multi-objective peptide design evaluated by a three dimensional diversity metric and a minimized hypervolume. In: Emmerich, M., et al. (eds.) EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation IV, pp. 139\u2013153 (2013)","DOI":"10.1007\/978-3-319-01128-8_10"},{"key":"1_CR15","doi-asserted-by":"crossref","unstructured":"B\u00e4ck, T., Sch\u00fctz, M.: Intelligent mutation rate control in canonical genetic algorithm. In: Proceedings of the International Symposium on Methodology for Intelligent Systems, pp. 158\u2013167 (1996)","DOI":"10.1007\/3-540-61286-6_141"},{"key":"1_CR16","unstructured":"BioJava: CookBook, release 3.0. http:\/\/www.biojava.org\/wiki\/BioJava"},{"key":"1_CR17","unstructured":"Fonseca C.M., Fleming P.J.: Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. In: Proceedings of the Fifth International Conference on Genetic Algorithms (ICGA 1993), pp. 416\u2013423 (1993)"},{"issue":"2","key":"1_CR18","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Corne, D.C., Knowles, J., Oates, M.J.: The pareto envelope-based selection algorithm for multiobjective optimization. In: Proceedings of Parallel Problem Solving from Nature PPSN VI, vol. 1917, pp. 839\u2013848 (2000)","DOI":"10.1007\/3-540-45356-3_82"},{"issue":"4","key":"1_CR20","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1109\/4235.797969","volume":"3","author":"E Zitzler","year":"1999","unstructured":"Zitzler, E., Thiele, L.: Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach. IEEE Trans. Evol. Comput. 3(4), 257\u2013271 (1999)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"Knowles, J.D., Corne, D.W.: The pareto archived evolution strategy: a new baseline algorithm for pareto multiobjective optimisation. In: Proceedings of the 1999 Congress on Evolutionary Computation (CEC 1999), pp. 98\u2013105 (1999)","DOI":"10.1109\/CEC.1999.781913"},{"issue":"4","key":"1_CR22","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/0161-5890(83)90029-9","volume":"20","author":"TP Hopp","year":"1983","unstructured":"Hopp, T.P., Woods, K.R.: A computer program for predicting protein antigenic determinants. Mol Immunol 20(4), 483\u2013489 (1983)","journal-title":"Mol Immunol"},{"key":"1_CR23","unstructured":"Rosenthal, S., Borschbach, M.: Impact of population size and selection within a customized NSGA-II for biochemical optimization assessed on the basis of the average cuboid volume indicator. In: Proceedings of the Sixth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies, BIOTECHNO 2014, Charmonix, April 2014"}],"container-title":["Advances in Intelligent Systems and Computing","EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-69710-9_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T23:57:08Z","timestamp":1750982228000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-69710-9_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,11]]},"ISBN":["9783319697086","9783319697109"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-69710-9_1","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2017,11,11]]}}}