Abstract:Although proposed more than half a century ago, the Nelder–Mead simplex search algorithm is still widely used. Four numeric constants define the operations and behavior of the algorithm. The algorithm with the original constant values performs fine on most low-dimensional, but poorly on high-dimensional, problems. Therefore, to improve its behavior in high dimensions, several adaptive schemas setting the constants according to the problem dimension were proposed in the past. In this work, we present a novel ad… Show more
“…Rojec et al [2] use optimization for finding a better adaptive parameter schema for the Nelder-Mead optimization algorithm. The parameters of the proposed schema are optimized on problems with dimensions of up to 100.…”
“…Rojec et al [2] use optimization for finding a better adaptive parameter schema for the Nelder-Mead optimization algorithm. The parameters of the proposed schema are optimized on problems with dimensions of up to 100.…”
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