Computational Optimization for Structural Engineering Applications
نویسندگان
چکیده
منابع مشابه
Applications of Evolutionary Optimization in Structural Engineering
*Department of Informatics, Kansai University, Takatsuki, Osaka 569-1095, Japan [email protected] **Graduates School of Informatics, Kansai University, Takatsuki, Osaka 569-1095, Japan [email protected] *** Department of Informatics, Kansai University, Takatsuki, Osaka 569-1095, Japan [email protected] Department of Civil, Environmental and Architectural ...
متن کاملComputational Optimization and Applications in Engineering and Industry
A solution to get the problem off, have you found it? Really? What kind of solution do you resolve the problem? From what sources? Well, there are so many questions that we utter every day. No matter how you will get the solution, it will mean better. You can take the reference from some books. And the computational optimization and applications in engineering and industry is one book that we r...
متن کاملInnovative Computational Methods for Structural Optimization
The objective of this paper is to investigate the efficiency of combinatorial optimization methods and in particular algorithms based on evolution strategies, when incorporated into structural optimization problems. Evolution strategies algorithms are used either on a stand-alone basis, or combined with a conventional mathematical programming technique. Furthermore, the structural analysis phas...
متن کاملOptimization and Engineering Applications
Among the participants were optimization researchers that work on engineering optimization problems and vice versa. The cross fertilization of experts in both fields is crucial for the development of new methods in both communities. Although there is an increasing awareness of common interests, until recently there have been only very few opportunities for the two sides to meet at conferences. ...
متن کاملIMPROVING COMPUTATIONAL EFFICIENCY OF PARTICLE SWARM OPTIMIZATION FOR OPTIMAL STRUCTURAL DESIGN
This paper attempts to improve the computational efficiency of the well known particle swarm optimization (PSO) algorithm for tackling discrete sizing optimization problems of steel frame structures. It is generally known that, in structural design optimization applications, PSO entails enormously time-consuming structural analyses to locate an optimum solution. Hence, in the present study it i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Optimization Theory and Applications
سال: 2020
ISSN: 0022-3239,1573-2878
DOI: 10.1007/s10957-020-01786-8