Alaz Özcan

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In this paper, a modified hybrid Particle Swarm Optimization (MHPSO) algorithm that combines some principles of Particle Swarm Optimization (PSO) and Crossover operation of the Genetic Algorithm (GA) is presented. Our contribution has a twofold aim: first, is to propose a new hybrid PSO algorithm. Second is to prove the effectiveness of the proposed(More)
Single-cell analysis technologies are essential tools in research and clinical diagnostics. These methods include flow cytometry, mass cytometry, and other microfluidics-based technologies. Most laboratories that employ these methods maintain large repositories of antibodies. These ever-growing collections of antibodies, their multiple conjugates, and the(More)
SUMMARY We present a parameter-free domain sewing approach for low-as well as high-order finite elements. Its final form contains only primal unknowns, i.e., the approach does not introduce additional unknowns at the interface. Additionally, it does not involve problem dependent parameters which require an estimation. The presented approach is(More)
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