Fuyun Jia

ORCID: 0009-0004-9413-1462
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About
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Research Areas
  • Advanced Multi-Objective Optimization Algorithms
  • Traditional Chinese Medicine Studies
  • Metaheuristic Optimization Algorithms Research
  • Traditional Chinese Medicine Analysis
  • Advanced Control Systems Optimization
  • Plant-based Medicinal Research
  • Cardiac electrophysiology and arrhythmias

Tianjin University of Traditional Chinese Medicine
2025

Cardiovascular disease (CVD) continues to dominate as the primary cause of mortality and morbidity worldwide, constituting a pressing global health concern. In contrast Western medicine, traditional Chinese medicine (TCM) offers holistic, side-effect-minimizing, highly efficacious approach tackling CVD challenges. Among myriad herbs utilized in TCM, Huangqi (HQ), particularly realm cardiovascular therapeutics, has enjoyed an esteemed status spanning millennia. Astragaloside IV (AS-IV),...

10.26689/cr.v2i4.9345 article EN Deleted Journal 2025-01-13

Abstract There are many design problems need to be optimized in various fields of engineering, and most them belong the NP-hard problem. The meta-heuristic algorithm is one kind optimization method provides an effective way solve Salp swarm (SSA) a nature-inspired that mimics mathematically models behavior slap nature. However, similar algorithms, traditional SSA has some shortcomings, such as entrapment local optima. In this paper, three main strategies adopted strengthen basic SSA,...

10.2478/jaiscr-2023-0011 article EN Journal of Artificial Intelligence and Soft Computing Research 2023-06-01

The design of pressure vessels is a constrained optimization problem that influenced by many real-world standards and specifications. It involves multiple variables constraints. existence real constraints can make the solution space complex, leading to local optima making search for global optimum very difficult. Metaheuristic algorithms provide effective solutions problems. Sine Cosine Algorithm (SCA) an algorithm based on sine cosine functions. However, like most metaheuristic algorithms,...

10.1109/icbaie59714.2023.10281302 article EN 2023-08-25
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