Zacytuj

[1] GUO, S.-M.—YANG, C.-C.—TSAI, J. S.-H.—HSU, P.-H.: A self-optimization approach for L-SHADE incorporated with eigenvector-based crossover and successful framework on CEC 2015 benchmark set. In: Proceedings of the IEEE Congress on Evolutionary Computation—CEC ‘15, Sendai, Japan, 2015, IEEE, New York, pp. 1003–1010.10.1109/CEC.2015.7256999Search in Google Scholar

[2] LIANG, J. J.—QU, B-Y.—SUGANTHAN, P. N.—HERNÁNDEZ-DÍAZ, A. G.: Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session and Competition on Real-Parameter Optimization. Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore, Tech. Rep. 2012, http://www.ntu.edu.sg/home/epnsugan/.Search in Google Scholar

[3] POLÁKOVÁ, R.—TVRDÍK, J.—BUJOK, P.: Population-size adaptation through diversity-control mechanism for differential evolution, MENDEL 2016, Brno University of Technology, 2016. pp. 49–56.Search in Google Scholar

[4] PRICE, K.: Eliminating drift bias from the differential evolution algorithm. In: Advances in Differential Evolution, Studies in Computational Intelligence, Vol. 143, Springer-Verlag, Berlin, 2008, pp. 33–88.10.1007/978-3-540-68830-3_2Search in Google Scholar

[5] How symmetry constrains evolutionary optimizers. In: Proc. of the IEEE Congress on Evolutionary Computation—CEC ‘17, Donostia-San Sebastián, Spain, 2017, IEEE, New York, pp. 1712–1719.Search in Google Scholar

[6] PRICE, K.—STORN, R. M.—LAMPINEN, J. A.: Differential evolution: a practical approach to global optimization. Springer Science & Business Media, 2006.Search in Google Scholar

[7] STORN, R.: Differential evolution research—trends and open questions. In: Advances in Differential Evolution, Springer-Verlag, Berlin, 2008, pp. 1–31.10.1007/978-3-540-68830-3_1Search in Google Scholar

[8] STORN, R.—PRICE, K.: Differential Evolution—A Simple and Efficient Heuristic for global Optimization over Continuous Spaces. J. Global Optim. 11 (1997), 341–359.10.1023/A:1008202821328Search in Google Scholar

[9] WANG, Y.—LI, H.-X.—HUANG, T.—LONG, L.: Differential evolution based on covariance matrix learning and bimodal distribution parameter setting, Appl. Soft Comput. 18 (2014), 232–247.10.1016/j.asoc.2014.01.038Open DOISearch in Google Scholar

eISSN:
1210-3195
Język:
Angielski
Częstotliwość wydawania:
3 razy w roku
Dziedziny czasopisma:
Mathematics, General Mathematics