Global Optimization with Derivative-free Methods

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Low dimensional simplex evolution (LDSE) is a real-coded evolutionary algorithm for global optimization. It generates new individuals in Nelder-Mead way, but the simplex is low and variable dimensional,  and the simplex operators are applied conditionally and selectively on low dimensional subspaces. The individuals survive by the rule of natural selection in the framework of try-try-struggle.


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