Publications

Export 16 results:
Filters: Author is V. P. Plagianakos  [Clear All Filters]
Book Chapter
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, Tasoulis, D. K., Pavlidis, N. G., Plagianakos, V. P., and Vrahatis, M. N., Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting, in Artificial Intelligence: Theories and Applications, vol. 7297, I. Maglogiannis, Plagianakos, V. P., and Vlahavas, I., Eds. Springer Berlin / Heidelberg, 2012, pp. 214-222. (134.88 KB)
Conference Paper
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)
N. G. Pavlidis, Pavlidis, E. G., Epitropakis, M. G., Plagianakos, V. P., and Vrahatis, M. N., Computational Intelligence Algorithms For Risk-Adjusted Trading Strategies, in IEEE Congress on Evolutionary Computation, 2007. CEC 2007, Singapore, 2007. (228.21 KB)
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, 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., 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)
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)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Higher-Order Neural Networks Training Using Differential Evolution, in International Conference of Numerical Analysis and Applied Mathematics, Hersonissos, Crete, Greece, 2006.
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Integer Weight Higher-Order Neural Network Training Using Distributed Differential Evolution, in International Conference of Computational Methods in Sciences and Engineering, Crete, Greece, 2006.
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Multimodal Optimization Using Niching Differential Evolution with Index-based Neighborhoods, in IEEE Congress on Evolutionary Computation, 2012. CEC 2012. (IEEE World Congress on Computational Intelligence), Brisbane, Australia, 2012. (479.12 KB)
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)
M. G. Epitropakis, Tasoulis, D. K., Pavlidis, N. G., Plagianakos, V. P., and Vrahatis, M. N., Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting, in IEEE Congress on Evolutionary Computation, 2012. CEC 2012. (IEEE World Congress on Computational Intelligence), Brisbane, Australia, 2012. (1.25 MB)

Full text PDF files are available for selected publications. The material in this section is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Scholarly Lite is a free theme, contributed to the Drupal Community by More than Themes.