Publications

Export 27 results:
Filters: First Letter Of Last Name is P  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
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)
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)
E
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, 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. 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
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)
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)
T
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)
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)
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)
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)
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)
C. Doerr, Bredeche, N., Alba, E., Bartz-Beielstein, T., Brockhoff, D., Doerr, B., Eiben, G., Epitropakis, M. G., Fonseca, C. M., Guerreiro, A., Haasdijk, E., Heinerman, J., Hubert, J., Lehre, P. Kristian, Malagò, L., Merelo, J. J., Miller, J., Naujoks, B., Oliveto, P., Picek, S., Pillay, N., Preuss, M., Ryser-Welch, P., Squillero, G., Stork, J., Sudholt, D., Tonda, A., Whitley, D., and Zaefferer, M., Tutorials at PPSN 2016, in Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings, J. Handl, Hart, E., Lewis, P. R., López-Ibáñez, M., Ochoa, G., and Paechter, B., Eds. Cham: Springer International Publishing, 2016, pp. 1012–1022. (175.7 KB)
C. Doerr, Bredeche, N., Alba, E., Bartz-Beielstein, T., Brockhoff, D., Doerr, B., Eiben, G., Epitropakis, M. G., Fonseca, C. M., Guerreiro, A., Haasdijk, E., Heinerman, J., Hubert, J., Lehre, P. Kristian, Malagò, L., Merelo, J. J., Miller, J., Naujoks, B., Oliveto, P., Picek, S., Pillay, N., Preuss, M., Ryser-Welch, P., Squillero, G., Stork, J., Sudholt, D., Tonda, A., Whitley, D., and Zaefferer, M., Tutorials at PPSN 2016, in Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings, J. Handl, Hart, E., Lewis, P. R., López-Ibáñez, M., Ochoa, G., and Paechter, B., Eds. Cham: Springer International Publishing, 2016, pp. 1012–1022. (175.7 KB)
C. Doerr, Bredeche, N., Alba, E., Bartz-Beielstein, T., Brockhoff, D., Doerr, B., Eiben, G., Epitropakis, M. G., Fonseca, C. M., Guerreiro, A., Haasdijk, E., Heinerman, J., Hubert, J., Lehre, P. Kristian, Malagò, L., Merelo, J. J., Miller, J., Naujoks, B., Oliveto, P., Picek, S., Pillay, N., Preuss, M., Ryser-Welch, P., Squillero, G., Stork, J., Sudholt, D., Tonda, A., Whitley, D., and Zaefferer, M., Tutorials at PPSN 2016, in Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings, J. Handl, Hart, E., Lewis, P. R., López-Ibáñez, M., Ochoa, G., and Paechter, B., Eds. Cham: Springer International Publishing, 2016, pp. 1012–1022. (175.7 KB)

Pages

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.