output
20202026
most citedArtificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization

234 citations

18 papers

cs.NE2026★ 14 cited

MAAPO:an innovative membrane algorithm based on artificial protozoa optimizer for multilevel threshold image segmentation

Xiaopeng Wang, Vaclav Snasel, Seyedali Mirjalili +1

This paper proposes a novel membrane algorithm based on artificial protozoa optimizer (MAAPO) for global optimization problems. The artificial protozoa optimizer (APO) is adopted a…

cs.NE2025★ 50 cited

SEB-ChOA: An Improved Chimp Optimization Algorithm Using Spiral Exploitation Behavior

Leren Qian, Mohammad Khishe, Yiqian Huang +1

The chimp optimization algorithm (ChOA) is a nature-inspired algorithm that imitates chimpanzees' individual intelligence and hunting behaviors. In this algorithm, the hunting proc…

physics.med-ph2025

Mechanistic Insights Into How Rewiring and Bifurcation Angle Affect DK-Crush Stent Deployment

Andrea Colombo, Dario Carbonaro, Mingzi Zhang +4

Background Double Kissing Crush (DKC) is a preferred two-stent technique for complex coronary bifurcation lesions. Proximal cell rewiring is routinely recommended to reduce technic…

physics.med-ph2025★ 5 cited

The Anatomy of Coronary Risk: How Artery Geometry Shapes Coronary Artery Disease through Blood Flow Haemodynamics -- Latest Methods, Insights and Clinical Implications

C. Shen, M. Zhang, H. Keramati +13

Despite tremendous advances in cardiovascular medicine, significant opportunities remain to improve coronary artery disease (CAD) prevention and treatment strategies. The key limit…

physics.med-ph2025

Are Ultrathin Stents Optimal for Bifurcation Lesions? Insights from Computational Modelling of Provisional and DK-Crush Techniques

Andrea Colombo, Dario Carbonaro, Mingzi Zhang +7

Complex coronary bifurcation lesions remain challenging in percutaneous coronary intervention, with stent design and deployment strategy influencing clinical outcomes. This study c…

cs.NE2025★ 234 cited

Artificial Protozoa Optimizer (APO): A novel bio-inspired metaheuristic algorithm for engineering optimization

Xiaopeng Wang, Vaclav Snasel, Seyedali Mirjalili +3

This study proposes a novel artificial protozoa optimizer (APO) that is inspired by protozoa in nature. The APO mimics the survival mechanisms of protozoa by simulating their forag…