@article{(Open Science Index):https://publications.waset.org/pdf/3405, title = {Digital filters for Hot-Mix Asphalt Complex Modulus Test Data Using Genetic Algorithm Strategies}, author = {Madhav V. Chitturi and Anshu Manik and Kasthurirangan Gopalakrishnan}, country = {}, institution = {}, abstract = {The dynamic or complex modulus test is considered to be a mechanistically based laboratory test to reliably characterize the strength and load-resistance of Hot-Mix Asphalt (HMA) mixes used in the construction of roads. The most common observation is that the data collected from these tests are often noisy and somewhat non-sinusoidal. This hampers accurate analysis of the data to obtain engineering insight. The goal of the work presented in this paper is to develop and compare automated evolutionary computational techniques to filter test noise in the collection of data for the HMA complex modulus test. The results showed that the Covariance Matrix Adaptation-Evolutionary Strategy (CMA-ES) approach is computationally efficient for filtering data obtained from the HMA complex modulus test.}, journal = {International Journal of Civil and Environmental Engineering}, volume = {2}, number = {6}, year = {2008}, pages = {121 - 127}, ee = {https://publications.waset.org/pdf/3405}, url = {https://publications.waset.org/vol/18}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 18, 2008}, }