Titlebook: Automatic Algorithm Selection for Complex Simulation Problems; Roland Ewald Book 2012 Vieweg+Teubner Verlag | Springer Fachmedien Wiesbade

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Maike Groen,Nina Kiel,André Weßel, i.e., problems for which simulator performance is hard to foresee. This chapter concludes the thesis. Section 11.1 summarizes the main methodological contributions, introduced in chapter 4 (p. 119) to chapter 8 (p. 247). Besides relating them to the concepts presented in chapter 2 (p. 19) and chap

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eatures, implementation details, and runtime environment, which may strongly affect the overall performance. An automated selection of simulation algorithms supports users in setting up simulation experiments without demanding expert knowledge on simulation. . .Roland Ewald analyzes and discusses ex

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Julian Lamers,Alexander Filipovićalgorithm performance and thereby allow us to solve the algorithm selection problem in a simulation context. To show the generality of the methods does not require a full evaluation of every technique, as has been done in chapter 9 (p. 273). The study is hence focused on the most relevant methods.

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Case Study II: Parallel Discrete-Event Simulationalgorithm performance and thereby allow us to solve the algorithm selection problem in a simulation context. To show the generality of the methods does not require a full evaluation of every technique, as has been done in chapter 9 (p. 273). The study is hence focused on the most relevant methods.

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Book 2012ituations: no prior knowledge is available, the impact of problem features on simulator performance is unknown, and a relationship between problem features and algorithm performance can be established empirically. The author concludes with an experimental evaluation of the developed methods..

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