Yuntian Teng

TL;DR: In this paper, a double adaptive weight mechanism was introduced into the MFO algorithm, termed as WEMFO, to boost the search capability of the basic MFO and provide a more efficient tool for optimization purposes.

TL;DR: Experimental results show that the scalability of CCMSCSA has been significantly improved and can find better solutions than its competitors when dealing with combinatorial optimization problems, and the proposed CSA performs well in almost all experimental results.

TL;DR: A new improved GBO algorithm is developed to mitigate performance concerns by introducing a Gaussian bare‐bones mechanism, an opposition‐based learning mechanism, and a moth spiral mechanism enhanced GOB algorithm, which is used to optimize kernel extreme learning machine (KELM), and a new GOMGBO‐K ELM model is proposed.

TL;DR: In this article , the role of effective stress, proppant size, rock type, and water soaking on the evolution of fracture conductivity as a function of increasing propper concentration was investigated.

TL;DR: In this paper , a heap-based optimizer (HBO) is proposed for medical diagnosis, which is based on the modified Rosenbrock's rotational direction method (MRM), an operator from the grey wolf optimizer and an orthogonal learning strategy (OL).