Cite
Development of innovative methodologies to reduce railway rolling noise through Genetic Algorithm-based shape optimization techniques
MLA
Denia Guzmán, Francisco David, et al. Development of Innovative Methodologies to Reduce Railway Rolling Noise through Genetic Algorithm-Based Shape Optimization Techniques. 2021. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1258892480&authtype=sso&custid=ns315887.
APA
Denia Guzmán, F. D., Martínez Casas, J., Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d’Enginyeria Mecànica i de Materials, Ministerio de Economía y Competitividad, & Garcia Andrés, X. (2021). Development of innovative methodologies to reduce railway rolling noise through Genetic Algorithm-based shape optimization techniques.
Chicago
Denia Guzmán, Francisco David, José Martínez Casas, Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d’Enginyeria Mecànica i de Materials, Ministerio de Economía y Competitividad, and Xavier Garcia Andrés. 2021. “Development of Innovative Methodologies to Reduce Railway Rolling Noise through Genetic Algorithm-Based Shape Optimization Techniques.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1258892480&authtype=sso&custid=ns315887.