Abstract: The shuffled frog leaping algorithm is easily sunk into local optimum and not enough accurate when optimizing the problem of some higher dimensional functions. In view of these shortcomings, ...

In this paper, a novel derivative-free pattern search based algorithm for Black-box optimization is proposed over a simplex constrained parameter space. At each iteration, starting from the current ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...