Abstract
In this paper, a novel constrained genetic algorithm is proposed and also successfully applied to the optimization of the active bar placement and feedback gains in intelligent truss structures. Based on the maximization of energy dissipation due to active control action, a mathematical model with constrains is initially developed. Then, according to the characteristics of the optimal problem, a new problem-specific encoding scheme, some special “genetic” operators and a problem-dependent repair algorithm are proposed and discussed. Numerical example of a 72-bar space intelligent truss structure is presented to demonstrate the rationality and validity of this methodology, and some useful conclusions are obtained.
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Chen, W., Yan, S., Wang, K., Chu, F. (2006). A Novel Constrained Genetic Algorithm for the Optimization of Active Bar Placement and Feedback Gains in Intelligent Truss Structures. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893295_101
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DOI: https://doi.org/10.1007/11893295_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46484-6
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