Department of Engineering, Kharazmi University, Tehran, Iran
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
Shahrouzi,M and Pashaei,M . (2013). TunnedTTStochastic Directional Search: an Efficient Heuristic for Structural Optimization of Building Frames. Scientia Iranica, 20(4), 1124-1132.
MLA
Shahrouzi,M , and Pashaei,M . "TunnedTTStochastic Directional Search: an Efficient Heuristic for Structural Optimization of Building Frames", Scientia Iranica, 20, 4, 2013, 1124-1132.
HARVARD
Shahrouzi M, Pashaei M. (2013). 'TunnedTTStochastic Directional Search: an Efficient Heuristic for Structural Optimization of Building Frames', Scientia Iranica, 20(4), pp. 1124-1132.
CHICAGO
M Shahrouzi and M Pashaei, "TunnedTTStochastic Directional Search: an Efficient Heuristic for Structural Optimization of Building Frames," Scientia Iranica, 20 4 (2013): 1124-1132,
VANCOUVER
Shahrouzi M, Pashaei M. TunnedTTStochastic Directional Search: an Efficient Heuristic for Structural Optimization of Building Frames. Scientia Iranica. 2013;20(4):1124-1132.
