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In this article, we present an empirical study of global, local, and hybrid meta- and hyper-heuristic search-based algorithms on 10 real-world datasets. We find that the hyper-heuristics are particularly effective. For example, the hyper-heuristic genetic algorithm significantly outperformed the other six approaches (and with high effect size) for solution quality 85% of the time, and was also faster than all others 70% of the time. Furthermore, correlation analysis reveals that it scales well as the number of requirements increases.<\/jats:p>","DOI":"10.1145\/3196831","type":"journal-article","created":{"date-parts":[[2018,6,5]],"date-time":"2018-06-05T12:17:19Z","timestamp":1528201039000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":35,"title":["An Empirical Study of Meta- and Hyper-Heuristic Search for Multi-Objective Release Planning"],"prefix":"10.1145","volume":"27","author":[{"given":"Yuanyuan","family":"Zhang","sequence":"first","affiliation":[{"name":"CREST, University College London, Gower Street, London, UK"}]},{"given":"Mark","family":"Harman","sequence":"additional","affiliation":[{"name":"CREST, University College London, Gower Street, London, UK"}]},{"given":"Gabriela","family":"Ochoa","sequence":"additional","affiliation":[{"name":"University of Stirling, Stirling, UK"}]},{"given":"Guenther","family":"Ruhe","sequence":"additional","affiliation":[{"name":"University of Calgary, Alberta, Canada"}]},{"given":"Sjaak","family":"Brinkkemper","sequence":"additional","affiliation":[{"name":"Utrecht University, CC Utrecht, The Netherlands"}]}],"member":"320","published-online":{"date-parts":[[2018,6,5]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.infsof.2014.02.001"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWSPM.2006.5"},{"key":"e_1_2_1_4_1","series-title":"Lecture Notes in Computer Science","volume-title":"Product Focused Software Process Improvement","author":"Amandeep A.","unstructured":"A. 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