چکیده مقاله
The Big Bang–Big Crunch BB–BC optimization algorithm is a new optimization method that relies on the Big Bang and Big Crunch theory, one of the theories of the evolution of the universe This method is among the heuristic population based search procedures that incorporate random variation and selection,such as genetic algorithm GA and simulated annealing SA Alongside the main advantages of these methods, the problems resulting from the improper distribution of candidate solutions cannot be ignored,especially for high dimensional functions In this paper a method, namely Audze Eglais’ approach, hasbeen applied to produce population that increases accuracy via homogeneous candidate solutions Numerical results demonstrate the efficiency of the improved BB BC method compared to other heuristic algorithm
کلیدواژهها
نویسندگان
Behrooz Hassani
Associate Professor of Civil Engineering, Shahrood University of Technology, Shahrood, Iran
Mostafa Assari
Faculty of Civil Engineering , Islamic Azad University Kashmar Branch, Kashmar, Iran
Morteza Kazemi Torbaghan
Behrooz Hassani Associate Professor of Civil Engineering, Shahrood University of Technology, Shahrood, IranMostafa Assari Faculty of Civil Engineering , Islamic Azad University Kashmar Branch, Kashmar, Iran
شیوه ارجاع
Hassani, Behrooz and Assari, Mostafa and Kazemi Torbaghan, Morteza,1391,An Improved Big Bang – Big Crunch Algorithm For Size Optimization of Trusses,9th International Congress on Civil Engineering,Isfahan
ارائهشده در
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