Publications by authors named "Gangqiang Hu"
In today's fast-paced and ever-changing environment, the need for algorithms with enhanced global optimization capability has become increasingly crucial due to the emergence of a wide range of optimization problems. To tackle this issue, we present a new algorithm called Random Particle Swarm Optimization (RPSO) based on cosine similarity. RPSO is evaluated using both the IEEE Congress on Evolutionary Computation (CEC) 2022 test dataset and Convolutional Neural Network (CNN) classification experiments.
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- DNA computing shows promise for efficient calculations, but designing high-quality DNA sequences is challenging due to multiple conflicting constraints.
- The authors propose an improved billiard algorithm that includes a set of innovative strategies to optimize DNA sequences, such as enhanced initialization and global search enhancements.
- Experimental comparisons using 12 benchmark functions demonstrate that the proposed method results in higher quality DNA sequences than other advanced algorithms.
Objective: RET (rearranged during transfection) kinase, as a transmembrane receptor tyrosine kinase, is a therapeutic target for several human cancer such as non-small cell lung cancer (NSCLC) and thyroid cancer. Pralsetinib is a recently approved drug for the treatment of RET-driven NSCLC and thyroid cancers. A single point mutation G810C at the C-lobe of the RET kinase causes pralsetinib resistance to this non-gatekeeper variant.
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