| Authors: | Kratica, Jozef Ljubić, Ivana Tošić, Dušan |
Affiliations: | Mathematical Institute of the Serbian Academy of Sciences and Arts | Title: | A genetic algorithm for the index selection problem | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Volume: | 2611 | First page: | 280 | Last page: | 290 | Conference: | Workshops on Applications of Evolutionary Computation, EvoWorkshops 2003 | Issue Date: | 1-Dec-2003 | ISBN: | 978-3-540-00976-4 | ISSN: | 0302-9743 | DOI: | 10.1007/3-540-36605-9_26 | Abstract: | This paper considers the problem of minimizing the response time for a given database workload by a proper choice of indexes. This problem is NP-hard and known in the literature as the Index Selection Problem (ISP). We propose a genetic algorithm (GA) for solving the ISP. Computational results of the GA on standard ISP instances are compared to branch-and-cut method and its initialisation heuristics and two state of the art MIP solvers: CPLEX and OSL. These results indicate good performance, reliability and efficiency of the proposed approach. |
Publisher: | Springer Link |
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