Applying the genetic algorithm and the consequential convex approximation programming for composite structure optimization

Nguyen Thoi Trung, Ngo Thanh Phong


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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