Publications

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B
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm, in IEEE Congress on Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence), Hong Kong, 2008. (686.81 KB)
X. Li, Engelbrecht, A., and Epitropakis, M. G., Benchmark Functions for CEC'2013 Special Session and Competition on Niching Methods for Multimodal Function Optimization', Evolutionary Computation and Machine Learning Group, RMIT University, Melbourne, Australia, 2013. (1013.54 KB)
D
S. K. Tasoulis, Epitropakis, M. G., Plagianakos, V. P., and Tasoulis, D. K., Density Based Projection Pursuit Clustering, in IEEE Congress on Evolutionary Computation, 2012. CEC 2012. (IEEE World Congress on Computational Intelligence), Brisbane, Australia, 2012. (982.49 KB)
M. G. Epitropakis, Li, X., and Burke, E. K., A Dynamic Archive Niching Differential Evolution Algorithm for Multimodal Optimization, IEEE Congress on Evolutionary Computation, 2013. CEC 2013. Cancun, Mexico, pp. 79-86, 2013. (913.7 KB)
E
M. G. Epitropakis, Yoo, S., Harman, M., and Burke, E. K., Empirical Evaluation of Pareto Efficient Multi-objective Regression Test Case Prioritisation, in International Symposium on Software Testing and Analysis (ISSTA'15), Baltimore, MD, USA, 2015. (434.42 KB)
M. G. Epitropakis, Tasoulis, D. K., Pavlidis, N. G., Plagianakos, V. P., and Vrahatis, M. N., Enhancing Differential Evolution Utilizing Proximity-based Mutation Operators, IEEE Transactions on Evolutionary Computation, vol. 15, pp. 99-119, 2011. (3.04 MB)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Evolutionary Adaptation of the Differential Evolution Control Parameters, in IEEE Congress on Evolutionary Computation, 2009. CEC 2009, Trondheim, Norway, 2009. (182.16 KB)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Evolutionary Algorithm Training of Higher-Order Neural Networks, in Artificial Higher Order Neural Networks for Computer Science and Engineering: Tends for Emerging Applications, M. Zhang, Ed. IGI Global, 2009.
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach, Information Sciences, vol. 216, pp. 50-92, 2012. (2.72 MB)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution, in IEEE Congress on Evolutionary Computation, 2010. CEC 2010. (IEEE World Congress on Computational Intelligence), Barcelona, Spain, 2010. (1.19 MB)
F
M. A. Kaliakatsos-Papakostas, Epitropakis, M. G., and Vrahatis, M. N., Feature Extraction Using Pitch Class Profile Information Entropy, in Mathematics and Computation in Music, vol. 6726, C. Agon, Andreatta, M., Assayag, G., Amiot, E., Bresson, J., and Mandereau, J., Eds. Springer Berlin / Heidelberg, 2011, pp. 354-357. (1.34 MB)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Finding Multiple Global Optima Exploiting Differential Evolution’s Niching Capability, in IEEE Symposium on Differential Evolution, 2011. SDE 2011. (IEEE Symposium Series on Computational Intelligence), Paris, France, 2011. (684.55 KB)
G
J. Swan, Epitropakis, M. G., and Woodward, J. R., Gen-O-Fix: An embeddable framework for Dynamic Adaptive Genetic Improvement Programming, Computing Science and Mathematics, University of Stirling, Stirling FK9 4LA, Scotland, CSM-195, 2014. (363.27 KB)
N
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Non-Monotone Differential Evolution, in Proceedings of the 10th annual inproceedings on Genetic evolutionary computation, GECCO 2008, New York, NY, USA, 2008. (69.4 KB)
R
Z. A. Kocsis, Neumann, G., Swan, J., Epitropakis, M. G., Brownlee, A. E. I., Haraldsson, S. O., and Bowles, E., Repairing and Optimizing Hadoop hashCode Implementations, in Search-Based Software Engineering: 6th International Symposium, SSBSE 2014, Fortaleza, Brazil, August 26-29, 2014. Proceedings, C. Le Goues and Yoo, S., Eds. Cham: Springer International Publishing, 2014, pp. 259–264.

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