@article { author = {Shahrouzi, Mohsen and Pashaei, Mahdi}, title = {TunnedTTStochastic Directional Search: an Efficient Heuristic for Structural Optimization of Building Frames}, journal = {Scientia Iranica}, volume = {20}, number = {4}, pages = {1124-1132}, year = {2013}, publisher = {Sharif University of Technology}, issn = {1026-3098}, eissn = {2345-3605}, doi = {}, abstract = {Performance of an optimization heuristic highly depends to the method it employs to represent and decompose the search space. A class of optimization methods including swarm intelligence utilize an especial way of decomposing the search space via specified direction states. The present work expands the idea providing a stochastic directional state search with tuned thresholds for selecting every direction state. The proposed meta-heuristic is then utilized for the problem of structural weight minimization in building frames under lateral and gravitational loading using a finite element analyzer. Treating a number of examples from literature, efficiency and effectiveness of the proposed method is shown superior to some other meta-heuristics including an improved particle swarm optimizer}, keywords = {Stochastic Directional Search,Structural Design,Sizing Optimization,Building Frame}, url = {https://scientiairanica.sharif.edu/article_1492.html}, eprint = {https://scientiairanica.sharif.edu/article_1492_f3cea9b02cc96faaa2e26078828abcc7.pdf} }