MSHHOTSA: A variant of tunicate swarm algorithm combining multi-strategy mechanism and hybrid Harris optimization
This paper proposes a novel hybrid algorithm, named Multi-Strategy Hybrid Harris Hawks
Tunicate Swarm Optimization Algorithm (MSHHOTSA). The primary objective of MSHHOTSA …
Tunicate Swarm Optimization Algorithm (MSHHOTSA). The primary objective of MSHHOTSA …
Deep learning and medical imaging for COVID-19 diagnosis: A comprehensive survey
COVID-19 (Coronavirus disease 2019) has been quickly spreading since its outbreak,
impacting financial markets and healthcare systems globally. Countries all around the world …
impacting financial markets and healthcare systems globally. Countries all around the world …
Enhanced tunicate swarm algorithm for optimizing shape of C2 RQI-spline curves
G Hu, J Zheng, X Ji, X Qin - Engineering Applications of Artificial …, 2023 - Elsevier
The shape optimization of interpolation curves is a crucial and intractable technique in
scientific visualization, data analysis, manufacturing and computer-aided design and is …
scientific visualization, data analysis, manufacturing and computer-aided design and is …
Optimizing the Efficiency of Winner-Takes-All Neuromorphic Circuit Optimization Using Self-Adaptive Multi-Population Quadratic Approximation Guided Jaya …
Metaheuristics are robust and sophisticated approaches to solving Electronic Design
Optimization problems. However, due to the non-linearity of these optimization problems, the …
Optimization problems. However, due to the non-linearity of these optimization problems, the …