Yuquan Li

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This paper presents a membrane algorithm, called MAQIS, by appropriately combining concepts and principles of membrane computing and quantum-inspired evolutionary approach. MAQIS has four distinct features from the membrane algorithms reported in the literature: initial solutions are only inside the skin membrane; different regions separated by membranes(More)
—This paper proposes a multi-objective membrane algorithm, called MOMA, for solving multi-objective knapsack problems. MOMA is designed with the framework and rules of a cell-like P system, and concepts and principles of quantum-inspired evolutionary algorithms. Three bench knapsack problems used frequently in the literature are applied to test MOMA(More)
This paper proposes a framework named multi-objective ant colony optimization based on decomposition (MoACO/D) to solve bi-objective traveling salesman problems (bTSPs). In the framework, a bTSP is first decomposed into a number of scalar optimization sub-problems using Tchebycheff approach. To suit for decomposition, an ant colony is divided into many(More)
PURPOSE To validate the reproducibility of a chemical shift imaging (CSI) acquisition protocol with parallel imaging, using automated repositioning software. MATERIALS AND METHODS Ten volunteers were imaged three times on two different 3 Tesla (T) MRI scanners, receiving anatomical imaging and two identical CSI measurements, using automated repositioning(More)
An extracellular β-agarase was purified from Pseudoalteromonas sp. NJ21, a Psychrophilic agar-degrading bacterium isolated from Antarctic Prydz Bay sediments. The purified agarase (Aga21) revealed a single band on sodium dodecyl sulfate-polyacrylamide gel electrophoresis, with an apparent molecular weight of 80 kDa. The optimum pH and temperature of the(More)
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