{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:50:43Z","timestamp":1740099043766,"version":"3.37.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319775371"},{"type":"electronic","value":"9783319775388"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-77538-8_38","type":"book-chapter","created":{"date-parts":[[2018,3,7]],"date-time":"2018-03-07T06:33:17Z","timestamp":1520404397000},"page":"547-560","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Toward the Online Visualisation of Algorithm Performance for Parameter Selection"],"prefix":"10.1007","author":[{"given":"David J.","family":"Walker","sequence":"first","affiliation":[]},{"given":"Matthew J.","family":"Craven","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,3,8]]},"reference":[{"key":"38_CR1","doi-asserted-by":"crossref","unstructured":"Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable multi-objective optimization test problems. In: Proceedings of IEEE Congress on Evolutionary Computation, vol. 1, pp. 825\u2013830, May 2002","DOI":"10.1109\/CEC.2002.1007032"},{"issue":"5","key":"38_CR2","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1109\/TEVC.2017.2687320","volume":"21","author":"KS Bhattacharjee","year":"2017","unstructured":"Bhattacharjee, K.S., Singh, H.K., Ryan, M., Ray, T.: Bridging the gap: many-objective optimization and informed decision-making. IEEE Trans. Evol. Comput. 21(5), 813\u2013820 (2017)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"38_CR3","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1109\/TEVC.2012.2225064","volume":"17","author":"DJ Walker","year":"2013","unstructured":"Walker, D.J., Everson, R.M., Fieldsend, J.E.: Visualising mutually non-dominating solution sets in many-objective optimization. IEEE Trans. Evol. Comput. 17(2), 165\u2013184 (2013)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"38_CR4","doi-asserted-by":"crossref","unstructured":"Craven, M.J., Jimbo, H.C.: EA stability visualization: perturbations, metrics and performance. In: Proceedings of Visualisation in Genetic and Evolutionary Computation (VizGEC 2014), Held at GECCO 2014 (2014)","DOI":"10.1145\/2598394.2610549"},{"key":"38_CR5","unstructured":"Polheim, H.: Visualization of evolutionary algorithms - set of standard techniques and multidimensional visualization. In: Proceedings of Genetic and Evolutionary Computation Conference (GECCO 1999), pp. 533\u2013540 (1999)"},{"key":"38_CR6","doi-asserted-by":"crossref","unstructured":"Kerren, A., Egger, T.: EAVis: a visualisation tool for evolutionary algorithms. In: Proceedings of 2005 IEEE Symposium on Visual Languages and Human-Centric Computing, pp. 299\u2013301 (2005)","DOI":"10.1109\/VLHCC.2005.33"},{"issue":"4","key":"38_CR7","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1109\/4235.942528","volume":"5","author":"E Hart","year":"2001","unstructured":"Hart, E., Ross, P.: GAVEL - a new tool for genetic algorithm visualization. IEEE Trans. Evol. Comput. 5(4), 335\u2013348 (2001)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"38_CR8","doi-asserted-by":"crossref","unstructured":"Keedwell, E., Johns, M., Savi\u0107, D.: Spatial and temporal visualisation of evolutionary algorithm decisions in water distribution network optimisation. In: GECCO Companion 2015 Proceedings of Visualisation in Genetic and Evolutionary Computation (VizGEC 2015) Held at GECCO 2015, pp. 941\u2013948 (2015)","DOI":"10.1145\/2739482.2768442"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Burlacu, B., Affenzeller, M., Kommenda, M., Winkler, S., Kronberger, G.: Visualization of genetic lineages and inheritance information in genetic programming. In: GECCO Companion 2013 Proceedings of Visualisation in Genetic and Evolutionary Computation (VizGEC 2013) Held at GECCO 2013, pp. 1351\u20131358 (2013)","DOI":"10.1145\/2464576.2482714"},{"key":"38_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1007\/3-540-36970-8_37","volume-title":"Evolutionary Multi-Criterion Optimization","author":"M Fleischer","year":"2003","unstructured":"Fleischer, M.: The measure of Pareto optima applications to multi-objective metaheuristics. In: Fonseca, C.M., Fleming, P.J., Zitzler, E., Thiele, L., Deb, K. (eds.) EMO 2003. LNCS, vol. 2632, pp. 519\u2013533. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/3-540-36970-8_37"},{"issue":"2","key":"38_CR11","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., Meyarivan, T.: 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":"38_CR12","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/978-1-4471-0427-8_25","volume-title":"Soft Computing in Engineering Design and Manufacturing","author":"PJ Bentley","year":"1998","unstructured":"Bentley, P.J., Wakefield, J.P.: Finding acceptable solutions in the Pareto-optimal range using multiobjective genetic algorithms. In: Chawdhry, P.K., Roy, R., Pant, R.K. (eds.) Soft Computing in Engineering Design and Manufacturing, pp. 231\u2013240. Springer, London (1998). https:\/\/doi.org\/10.1007\/978-1-4471-0427-8_25"},{"key":"38_CR13","doi-asserted-by":"crossref","unstructured":"Garza-Fabre, M., Toscano-Pulido, G., Coello, C.: Two novel approaches for many-objective optimization. In: Proceedings of the IEEE Congress on Evolutionary Computation, pp. 4480\u20134487, July 2010","DOI":"10.1109\/CEC.2010.5585930"},{"key":"38_CR14","unstructured":"Schaake, J., Lai, D.: Linear programming and dynamic programming application to water distribution network design. Technical report. MIT (1969)"},{"key":"38_CR15","doi-asserted-by":"crossref","unstructured":"Walker, D.J., Keedwell, E., Savi\u0107, D.: Multi-objective optimisation of a water distribution network with a sequence-based selection hyper-heuristic. In: Proceedings of Computing and Control in the Water Industry (CCWI 2016) (2016)","DOI":"10.1145\/2908961.2909016"},{"issue":"1","key":"38_CR16","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1162\/EVCO_a_00009","volume":"19","author":"J Bader","year":"2011","unstructured":"Bader, J., Zitzler, E.: HypE: an algorithm for fast hypervolume-based many-objective optimization. Evol. Comput. 19(1), 45\u201376 (2011)","journal-title":"Evol. Comput."}],"container-title":["Lecture Notes in Computer Science","Applications of Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-77538-8_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T05:57:06Z","timestamp":1570859826000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-77538-8_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319775371","9783319775388"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-77538-8_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}