The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based on ...
Abstract: With autonomous robots becoming increasingly integrated into human society, the efficiency of their path optimization is of paramount importance. To address the issue of redundant states in ...
Three swarm optimization algorithms were utilized to determine the initial weights and biases of the ANN. Subsequently, the parameters of the Williams-Landel-Ferry (WLF) function were optimized using ...
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