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Genetic Algorithms for the Design of Composite Panelsptimal solution, turn out to be very similar to how probabilities are handled within a Bayesian Network. The paper presents a branch-and-bound algorithm for solving this new class of problems, analyzes its computational complexity and reports some encouraging experimental results.