Genetic Improvement for Adaptive Software Engineering

被引：40
|
作者：
Harman, Mark [1 ]
Jia, Yue [1 ]
Langdon, William B. [1 ]
Petke, Justyna [1 ]
Moghadam, Iman Hemati [1 ]
Yoo, Shin [1 ]
Wu, Fan [1 ]
机构：
[1] UCL, CREST Ctr, Malet Pl, London WC1E 6BT, England
来源：
9TH INTERNATIONAL SYMPOSIUM ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS (SEAMS 2014) | 2014年
基金：
英国工程与自然科学研究理事会;
关键词：
Artificial Intelligence; Machine Learning; Genetic Improvement; Search Based Software Engineering;
D O I：
10.1145/2593929.2600116
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper presents a brief outline of an approach to online genetic improvement. We argue that existing progress in genetic improvement can be exploited to support adaptivity. We illustrate our proposed approach with a 'dreaming smart device' example that combines online and offline machine learning and optimisation.
引用
收藏
页码：1 / 4
页数：4
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