Items where Author is "Yao, X"

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Number of items: 11.

Journal article

CHEN, T., BAHSOON, R. and YAO, X., 2018. A survey and taxonomy of self-aware and self-adaptive cloud autoscaling systems. ACM Computing Surveys. ISSN 0360-0300 (Forthcoming)

CHEN, T., LI, K., BAHSOON, R. and YAO, X., 2018. FEMOSAA: Feature guided and knEe driven Multi-Objective optimization for Self-Adaptive softwAre. ACM Transactions on Software Engineering and Methodology. ISSN 1049-331X (Forthcoming)

CHONG, S.Y., TIŇO, P., HE, J. and YAO, X., 2017. A new framework for analysis of coevolutionary systems - directed graph representation and random walks. Evolutionary Computation. ISSN 1063-6560

HE, J. and YAO, X., 2017. Average drift analysis and population scalability. IEEE Transactions on Evolutionary Computation, 21 (3), pp. 426-439. ISSN 1089-778X

LEWIS, P.R., CHANDRA, A., FANIYI, F., GLETTE, K., CHEN, T., BAHSOON, R., TORRESEN, J. and YAO, X., 2015. Architectural aspects of self-aware and self-expressive computing systems: from psychology to engineering. Computer, 48 (8), pp. 62-70. ISSN 0018-9162

HE, J., CHEN, T. and YAO, X., 2015. On the easiest and hardest fitness functions. IEEE Transactions on Evolutionary Computation, 19 (2), pp. 295-305. ISSN 1089-778X

Chapter in book

CHEN, T., LI, M. and YAO, X., 2018. On the effects of seeding strategies: a case for search-based multi-objective service composition. In: Proceedings of GECCO ’18: Genetic and Evolutionary Computation Conference, 15–19 July 2018, Kyoto, Japan. New York: Association for Computing Machinery. ISBN 9781450356183 (Forthcoming)

LI, M., CHEN, T. and YAO, X., 2018. A critical review of "A practical guide to select quality indicators for assessing Pareto-based search algorithms in search-based software engineering": essay on quality indicator selection for SBSE. In: Proceedings of ICSE-NIER’18: 40th International Conference on Software Engineering: New Ideas and Emerging Results Track, 2018, Gothenburg, Sweden, 27 May - 3 June 2018. New York: Association for Computing Machinery (ACM). ISBN 9781450356626

CHEN, T., BAHSOON, R., WANG, S. and YAO, X., 2018. To adapt or not to adapt? Technical debt and learning driven self-adaptation for managing runtime performance. In: Proceedings of ICPE ’18: 9th ACM/SPEC International Conference on Performance Engineering, Berlin, Germany, 9–13 April 2018. New York: Association for Computing Machinery (ACM), pp. 48-55. ISBN 9781450350952

MAVROVOUNIOTIS, M., YANG, S. and YAO, X., 2014. Multi-colony ant algorithms for the dynamic travelling salesman problem. In: 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE 2014): Orlando, Florida, USA 9-12 December 2014. Piscataway: Institute of Electrical and Electronics Engineers, pp. 9-16. ISBN 9781479945146

MAVROVOUNIOTIS, M., YANG, S. and YAO, X., 2012. A Benchmark Generator for Dynamic Permutation-Encoded Problems. In: C.A. COELLO COELLO, ed., Parallel problem solving from nature - PPSN XII: 12th International Conference, Taormina, Italy, September 1-5, 2012. Proceedings. Part II. Lecture notes in computer science (7492). Berlin: Springer, pp. 508-517. ISBN 9783642329630

This list was generated on Sat Jun 23 19:44:40 2018 UTC.