Author:
Burles Nathan,Bowles Edward,Brownlee Alexander E. I.,Kocsis Zoltan A.,Swan Jerry,Veerapen Nadarajen
Publisher
Springer International Publishing
Reference15 articles.
1. Abbott, R.J.: Object-oriented genetic programming, an initial implementation. In: Proceedings of the 6th International Conference on Computational Intelligence and Natural Computing, North Carolina, USA (2003)
2. Bruce, W.S.: Automatic generation of object-oriented programs using genetic programming. In: Proceedings of the 1st Annual Conference on Genetic Programming, pp. 267–272. MIT Press, Cambridge (1996)
3. Chu, P.C., Beasley, J.E.: A genetic algorithm for the generalised assignment problem. Comput. Oper. Res. 24(1), 17–23 (1997)
4. Cohen, M., Zhu, H.S., Senem, E.E., Liu, Y.D.: Energy types. In: Proceedings of the ACM International Conference on Object Oriented Programming Systems Languages and Applications, OOPSLA 2012, pp. 831–850. ACM, NY (2012)
5. Hao, S., Li, D., Halfond, W.G., Govindan, R.: Estimating mobile application energy consumption using program analysis. In: 35th International Conference on Software Engineering, pp. 92–101. IEEE (2013)
Cited by
24 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Speeding up Genetic Improvement via Regression Test Selection;ACM Transactions on Software Engineering and Methodology;2024-07-23
2. On Reducing Network Usage with Genetic Improvement;Proceedings of the 13th ACM/IEEE International Workshop on Genetic Improvement;2024-04-16
3. A Hybrid Distributed EA Approach for Energy Optimisation on Smartphones;Empirical Software Engineering;2022-08-06
4. How do Android developers improve non-functional properties of software?;Empirical Software Engineering;2022-05-30
5. A black box technique to reduce energy consumption of Android apps;Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results;2022-05-21