Abstract
A cultural algorithm was utilized in this study to solve optimal design of truss structures problem achieving minimum weight objective under stress and deflection constraints. The algorithm is inspired by principles of human social evolution. It simulates the social interaction between the peoples and their beliefs in a belief space. Cultural Algorithm (CA) utilizes the belief space and population space which affects each other based on acceptance and influence functions. The belief space of CA consists of different knowledge components. In this paper, only situational and normative knowledge components are used within the belief space. The performance of the method is demonstrated through four benchmark design examples. Comparison of the obtained results with those of some previous studies demonstrates the efficiency of this algorithm.
Original language | English |
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Pages (from-to) | 1721-1747 |
Number of pages | 27 |
Journal | Latin American Journal of Solids and Structures |
Volume | 12 |
Early online date | 11 Nov 2014 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- Cultural algorithm
- Size optimization