Items where Author is "Yao, X"

Journal article

CHEN, T., HE, J., CHEN, G. and YAO, X., 2020. Choosing selection pressure for wide-gap problems. Theoretical Computer Science, 411 (6), pp. 926-934. ISSN 0304-3975

CHEN, T., BAHSOON, R. and YAO, X., 2019. A survey and taxonomy of self-aware and self-adaptive cloud autoscaling systems. ACM Computing Surveys, 51 (3): 61. ISSN 0360-0300

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, 27 (2): 5. ISSN 1049-331X

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

OLIVETO, P.S., HE, J. and YAO, X., 2009. Analysis of the (1+1)-EA for finding approximate solutions to vertex cover problems. IEEE Transactions on Evolutionary Computation, 13 (5), pp. 1006-1029. ISSN 1089-778X

CHENG, T.M.K., HE, J., SUN, G., CHEN, G. and YAO, X., 2009. A new approach for analyzing average time complexity of population-based evolutionary algorithms on unimodal problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 39 (5), pp. 1092-1106. ISSN 1083-4419

HE, J., REEVES, C., WITT, C. and YAO, X., 2007. A note on problem difficulty measures in black-box optimization: classification, realizations and predictability. Evolutionary Computation, 15 (4), pp. 435-443. ISSN 1063-6560

OLIVETO, P.S., HE, J. and YAO, X., 2007. Time complexity of evolutionary algorithms for combinatorial optimization: a decade of results. International Journal of Automation and Computing, 4 (3), pp. 281-293. ISSN 1476-8186

YAO, X., LIU, Y., LI, J., HE, J. and FRAYN, C., 2006. Current developments and future directions of bio-inspired computation and implications for ecoinformatics. Ecological Informatics, 1 (1), pp. 9-22. ISSN 1574-9541

HE, J., YAO, X. and LI, J., 2005. A comparative study of three evolutionary algorithms incorporating different amounts of domain knowledge for node covering problem. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 35 (2), pp. 266-271. ISSN 1094-6977

HE, J. and YAO, X., 2004. Time complexity analysis of an evolutionary algorithm for finding nearly maximum cardinality matching. Journal of Computer Science and Technology, 19 (4), pp. 450-458. ISSN 1000-9000

HE, J. and YAO, X., 2004. A study of drift analysis for estimating computation time of evolutionary algorithms. Natural Computing, 3 (1), pp. 21-35. ISSN 1567-7818

HE, J. and YAO, X., 2003. Towards an analytic framework for analysing the computation time of evolutionary algorithms. Artificial Intelligence, 145 (1-2), pp. 59-97. ISSN 0004-3702

HE, J. and YAO, X., 2003. Drift analysis in studying the convergence and hitting times of evolutionary algorithms: an overview. Wuhan University Journal of Natural Sciences, 8 (1), pp. 143-154. ISSN 1007-1202

HE, J. and YAO, X., 2002. From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 6 (5), pp. 495-511. ISSN 1089-778X

HE, J. and YAO, X., 2001. Drift analysis and average time complexity of evolutionary algorithms. Artificial Intelligence, 127 (1), pp. 57-85. ISSN 0004-3702

HE, J., XU, J. and YAO, X., 2000. Solving equations by hybrid evolutionary computation techniques. IEEE Transactions on Evolutionary Computation, 4 (3), pp. 295-304. ISSN 1089-778X

Chapter in book

MANSFIELD, N., VINK, P., VLEDDER, G., YAO, X., SONG, Y., HERBIG, B., REICHHERZER, A.S. and BELLMANN, A.M., 2023. Passengers’ seat vibration exposure on turboprop aircraft flights. In: S. FROHRIEP, N. MANSFIELD, A. WEST, P. VINK, A. NADDEO and W. SONG, eds., Proceedings of the 4th International Comfort Congress, 6-7 September 2023, Amberg, Germany. Comfort Congress. ISBN 9789463844642

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