Prediction in evolutionary algorithms for dynamic environments



Soft Computing, Vol. 18, #8, pp. 1471-1497, Springer Berlin Heidelberg 2014

Cited by

Year 2016 : 1 citations

 Cristina Serbanescu, Cosmina Elena Pop(2016), Data analysis and statistical estimation for time series: improving
presentation and interpretation. Methodologies And Application, Soft Computing, pp 1-12, Springer 2016

Year 2015 : 2 citations

 Popescu, P. G., Poenaru, R., & Pop, F. (2015). New third-order Newton-like method with lower iteration number and lower TNFE. Soft Computing, 1-8.

 Azevedo, C. R., & Von Zuben, F. J. (2015). Learning to Anticipate Flexible Choices in Multiple Criteria Decision-Making Under Uncertainty.

Year 2014 : 3 citations

 Filipiak, P., & Lipinski, P. (2014). Univariate Marginal Distribution Algorithm with Markov Chain Predictor in Continuous Dynamic Environments. In Intelligent Data Engineering and Automated Learning–IDEAL 2014 (pp. 404-411). Springer International Publishing.

 Azevedo, C. R. B. (2014). Anticipation in Multiple Criteria Decision-Making Under Uncertainty.

 Akandwanaho, S. M., Adewumi, A. O., & Adebiyi, A. A. (2014). Solving Dynamic Traveling Salesman Problem Using Dynamic Gaussian Process Regression. Journal of Applied Mathematics, 2014.