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This paper proposes five multistage multimodal optimization algorithms for simultaneously seeking multiple optima in a nonconvex design problem. In a single stage algorithm, multistate simulated annealing or sequential local searches are used for simultaneously seeking the global optimum and other local optima. A two-stage algorithm employs a random search followed by topographical near-optimum identification...
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