Applying the genetic algorithm and the consequential convex approximation programming for composite structure optimization
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DOI:
https://doi.org/10.15625/0866-7136/26/4/5708Abstract
This paper applies the genetic algorithm and consequential convex approximation programming to deal with problems of minimizing the strain energy of a linear elastic fiber reinforced composite laminate in a state of plane stress. The directions of fibers are used as design variables. From the numerical results, an evaluation of two optimization techniques is performed.
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