Author of the publication

Approximating the Nonhomogeneous Lognormal Diffusion Process via Polynomial Exogenous Factors.

, , , , , and . Cybern. Syst., 37 (4): 293-309 (2006)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Comparing Optimization Methods, in Continuous Space, for Modelling with a Diffusion Process., , , , , and . IWANN (2), volume 9095 of Lecture Notes in Computer Science, page 380-390. Springer, (2015)Comparing Some Estimate Methods in a Gompertz-Lognormal Diffusion Process., , and . EUROCAST (1), volume 8111 of Lecture Notes in Computer Science, page 499-506. Springer, (2013)Determining the significance and relative importance of parameters of a simulated quenching algorithm using statistical tools., , , , , , and . Appl. Intell., 37 (2): 239-254 (2012)The Uncertainty Quandary: A Study in the Context of the Evolutionary Optimization in Games and Other Uncertain Environments., , , , , , , , , and 2 other author(s). Trans. Comput. Collect. Intell., (2016)Preventing the Impact of Marital Dissolutions in Children by Regression Techniques., , , and . CENTERIS (3), volume 221 of Communications in Computer and Information Science, page 264-271. Springer, (2011)Performance for the Masses: Experiments with A Web Based Architecture to Harness Volunteer Resources for Low Cost Distributed Evolutionary Computation., , , , , and . GECCO, page 837-844. ACM, (2016)Studying and Tackling Noisy Fitness in Evolutionary Design of Game Characters., , , , , , and . IJCCI (ECTA), page 76-85. SciTePress, (2014)A Statistical Approach to Dealing with Noisy Fitness in Evolutionary Algorithms., , , , , , , and . IJCCI (Selected Papers), volume 620 of Studies in Computational Intelligence, page 79-95. Springer, (2014)There is Noisy Lunch: A Study of Noise in Evolutionary Optimization Problems., , , , , , , , and . IJCCI (ECTA), page 261-268. SciTePress, (2015)Using statistical tools to determine the significance and relative importance of the main parameters of an evolutionary algorithm., , , , and . Intell. Data Anal., 17 (5): 771-789 (2013)