Abstract
Optimizing composite laminates is a combinatorial problem which has multiple solutions of similar performance. Evolutionary optimization techniques are particularly well suited for this kind of problems, because they can handle discrete variables, and yield many optimal or near-optimal solutions. The designer will then have a choice among various solutions. Nevertheless, evolutionary techniques are limited by their high computational cost. It is possible to reduce the cost of the optimization by specializing the evolutionary algorithm. An efficient evolutionary optimization method is first developed for computationally inexpensive plate problems. Those results are then extended to more complex composite structures design problems.
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