期刊
NEUROCOMPUTING
卷 123, 期 -, 页码 381-389出版社
ELSEVIER
DOI: 10.1016/j.neucom.2013.07.036
关键词
Tuning compilations; Evolutionary search; Genetic algorithm; Adaptive strategy; Multi-objective optimization; NSGA-II
Tuning compilations is the process of adjusting the values of a compiler options to improve some features of the final application. In this paper, a strategy based on the use of a genetic algorithm and a multi-objective scheme is proposed to deal with this task. Unlike previous works, we try to take advantage of the knowledge of this domain to provide a problem-specific genetic operation that improves both the speed of convergence and the quality of the results. The evaluation of the strategy is carried out by means of a case of study aimed to improve the performance of the well-known web server Apache. Experimental results show that a 7.5% of overall improvement can be achieved. Furthermore, the adaptive approach has shown an ability to markedly speed-up the convergence of the original strategy. (C) 2013 Elsevier B.V. All rights reserved.
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