{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:29:04Z","timestamp":1760149744950,"version":"build-2065373602"},"reference-count":5,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,9,5]],"date-time":"2023-09-05T00:00:00Z","timestamp":1693872000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Decision making in real-world applications frequently calls for taking into account multiple goals to come up with viable solutions [...]<\/jats:p>","DOI":"10.3390\/a16090425","type":"journal-article","created":{"date-parts":[[2023,9,5]],"date-time":"2023-09-05T09:59:31Z","timestamp":1693907971000},"page":"425","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["\u201cMulti-Objective and Multi-Level Optimization: Algorithms and Applications\u201d: Foreword by the Guest Editor"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9925-1306","authenticated-orcid":false,"given":"Massimiliano","family":"Caramia","sequence":"first","affiliation":[{"name":"Dipartimento di Ingegneria dell\u2019impresa, University of Rome \u201cTor Vergata\u201d\u2014Via del Politecnico, 1, 00133 Rome, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Scheepers, C., and Engelbrecht, A. (2023). The Porcupine Measure for Comparing the Performance of Multi-Objective Optimization Algorithms. Algorithms, 16.","DOI":"10.3390\/a16060283"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Naulia, P.S., Roy, A., Watada, J., and Aziz, I.B.A. (2023). A Pixel-Wise k-Immediate Neighbour-Based Image Analysis Approach for Identifying Rock Pores and Fractures from Grayscale Image Samples. Algorithms, 16.","DOI":"10.3390\/a16010042"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Cruz, A.R., and Ermler, W.C. (2023). Algorithmic Design of Geometric Data for Molecular Potential Energy Surfaces. Algorithms, 16.","DOI":"10.3390\/a16010006"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Pierantozzi, M., Tomassetti, S., and Di Nicola, G. (2022). Thermal Conductivity of Low-GWP Refrigerants Modeling with Multi-Object Optimization. Algorithms, 15.","DOI":"10.3390\/a15120482"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Sarabia, D., Ortiz, M.C., and Sarabia, L.A. (2022). Integrated Design of a Supermarket Refrigeration System by Means of Experimental Design Adapted to Computational Problems. Algorithms, 15.","DOI":"10.3390\/a15110417"}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/16\/9\/425\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:46:30Z","timestamp":1760129190000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/16\/9\/425"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,5]]},"references-count":5,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2023,9]]}},"alternative-id":["a16090425"],"URL":"https:\/\/doi.org\/10.3390\/a16090425","relation":{},"ISSN":["1999-4893"],"issn-type":[{"type":"electronic","value":"1999-4893"}],"subject":[],"published":{"date-parts":[[2023,9,5]]}}}