{"type":"ScholarlyArticle","title":"On the Runtime of Randomized Local Search and Simple Evolutionary Algorithms for Dynamic Makespan Scheduling","authors":[{"name":"Frank Neumann","slug":"frank-neumann","given":"Frank","family":"Neumann","affiliation":""},{"name":"Carsten Witt","slug":"carsten-witt","given":"Carsten","family":"Witt","affiliation":""}],"abstract":"Evolutionary algorithms have been frequently used for dynamic optimization problems. With this paper, we contribute to the theoretical understanding of this research area. We present the first computational complexity analysis of evolutionary algorithms for a dynamic variant of a classical combinatorial optimization problem, namely makespan scheduling. We study the model of a strong adversary which is allowed to change one job at regular intervals. Furthermore, we investigate the setting of random changes.","doi":null,"url":"https://ijcai.org/proceedings/2015/526","pdf":"https://ijcai.org/proceedings/2015/0526.pdf","markdown":"https://ijcai.org/proceedings/2015/526.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/526","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Special Track on Machine Learning","track":"Special Track on Machine Learning","number":526,"pages":{"first":3742,"last":3747},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}