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35篇 您的检索式:作者名="Ponnuthurai"
    题名 作者 年代 出处 被引量
1双局部粒子群算法解决环境经济调度问题显示文摘提出一种基于双局部最优的多目标粒子群优化算法,与可行解为优的约束处理方法相结合,来求解决非线性带约束的多目标电力系统环境经济调度问题。该算法针对传统多目标粒子群算法多样性低的局限性,通过对搜索空间的分割归类来增加帕累托最优解的多样性;并采用一种新的双局部最优来引导粒子的搜索,从而增强了算法的全局搜索能力。算法加入了可行解为优的约束处理方法对IEEE30节点六发电机电力系统环境经济负荷分配模型分别在几个不同复杂性问题的情况进行仿真测试,并与文献中的其他算法进行了比较。结果表明,改进的算法能够在保持帕累托最优解多样性的同时具有良好的收敛性能,更有效地解决电力系统环境经济调度问题。瞿博阳 梁静 Ponnuthurai Nagaratnam Suganthan 2014计算机工程与应用2014,50,11:4
2Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance显示文摘Dear editor,Recently, dynamic economic dispatch (DED) has attracted much attention in power system optimal operation [1, 2], because it considers the interplay between the different dispatching periods based on ramp rate limits of the generator units.Li YAN Boyang QU Yongsheng ZHU Baihao QIAO Ponnuthurai Nagaratnam SUGANTHAN 2019Science China(Information Sciences)2019,62,7:3
3Ensemble of constraint handling techniques显示文摘Mallipeddi R Ponnuthurai P Suganthan N 2010IEEE Transactions on Evolutionary Computation2010,14,4:1
4The Syntax score predicts peri-procedural myocardial necrosis during percutaneous coronary intervention显示文摘van Gaal wJ Ponnuthurai FA Selvauayagam J 2009IntJ CardioL2009,135,:1
5Comprehensive learning particle swam optimizer for global optimization of multimodal functions显示文摘LIANG J J QIN A K Ponnuthurai Nagaramam Suganthan 2006IEEE Transactions on Evolutionary Computation2006,10,3:1
6Yield depression in F2 hybrid of rice, O-ryza Sativa L显示文摘Ponnuthurai S Vrimani S S 1985IRRN1985,10,3:1
7The Syntax score predicts peri-procedural myocardial necrosis during percutaneous coronary intervention显示文摘William J. van Gaal Francis A. Ponnuthurai Joseph Selvanayagam Luca Testa Italo Porto Stefan Neubauer Adrian P. Banning 2008International Journal of Cardiology2008,,1:1
8Compre- hensive learning particle swarm optimizer for global optimization of multimodal functions 显示文摘Liang J J Qin A K Ponnuthurai Nagaratnam Suganthan 2006IEEE Transactions on Evolutionary Com- putation2006,10,3:1
9Differential Evolution: A Survey of the State-of-the-Art显示文摘Swagatam Das Ponnuthurai Nagaratnam Suganthan 2011IEEE Transac- tions on Evolutionary Computation2011,15,1:1
10The Syntax score predicts peri-procedural myocardial necrosis during percutaneous coronary intervention显示文摘van Gaal WJ Ponnuthurai FA Selvanayagam J 0,,1:1
11Comprehensive Learning Particle Swarm Optimizer for Global Optimization of Multimodal Functions显示文摘Liang J J Qin A K Ponnuthurai Nagaratnam Suganthan 2006IEEE Trans on Evolutionary Computation2006,10,3:1
12鸽群智能优化专题简介显示文摘2016年8月,美国国防部国防科学委员会发布了Autonomy,指出'未来人工智能战争不可避免'.2017年7月,美国情报高级研究计划局发布了Artificial Intelligence and National Security,再次指出“人工智能技术是国家安全的颠覆性技术”.2017年7月21日,中国国务院发布了《新一代人工智能发展规划》,文中共21次提到“群体智能”,并多次提及“群体认知”、“群体感知”、协同与演化”、“群体集成智能”等概念.简单而言,群体智能是受群居性动物集体行为启发,用于设计问题求解算法和分布式系统的理论与方法.段海滨 梁静 Ponnuthurai Nagaratnam SUGANTHAN 2019中国科学:信息科学2019,49,7:1
13Microcoil embolization of distal coronary artery perforation without reversal of anticoagulation: a simple, effective approach显示文摘Ponnuthurai FA Ormerod OJ Foffar C 2007J lnvasive Cardiol2007,19,8:1
14The Syntax score predicts peri-procedural myocardial necrosis during percutaneous coronary intervention显示文摘van GaalWJ Ponnuthurai FA SelvanayagamJ 2009Int J Cardiol2009,,:1
15The Syntax score predicts peri-procedural myocardial necrosis during percutaneous coronary intervention显示文摘Van Gaal WJ Ponnuthurai FA Selvanayagam J 2009Int J Cardiol2009,135,1:1
16The Syntax score predicts peri-procedural myocardial necrosis during percuta-neous coronary intervention显示文摘Van Gaal WJ Ponnuthurai FA Selvanayagam J 2009Int J Cardiol2009,135,1:1
17Differential Evolution: A Survey of the State-of-the-Art显示文摘Swagatam Das Ponnuthurai Nagaratnam Suganthan 2011IEEE Transac- tions on Evolutionary Computation2011,15,1:1
18The Syntax score predicts peri-procedural myocardial necrosis during percutaneous coronary intervention显示文摘William J. van Gaal Francis A. Ponnuthurai Joseph Selvanayagam Luca Testa Italo Porto Stefan Neubauer Adrian P. Banning 2008International Journal of Cardiology2008,,1:1
19Comprehensive learning particle swarm optimizer for globaloptimization of multimodal functions 显示文摘Liang J J Qin A K Ponnuthurai Nagaratnam Suganthan IEEE Transactionson Evolutionary Computation0,10,3:1
20Management of atherosclerotic plaque in left internal mammary artery graft five years after angiographic patency: A case report显示文摘BACKGROUND The left internal mammary artery(LIMA)has demonstrated excellent long-term patency rates when used as a bypass conduit with complications usually occurring in the early postoperative period.The rapid development of de-novo atherosclerosis in a previously non-diseased LIMA,subsequently leading to an acute coronary syndrome(ACS)is rarely encountered.CASE SUMMARY A 67-year-old man with history of triple coronary artery bypass graft(8 years ago)presented to our hospital with an ACS.He had undergone angiography 5 years ago to investigate episodic chest pain and imaging of the LIMA at the time did not demonstrate the atherosclerotic process.Emergent angiography demonstrated a severe diffuse stenosis in the proximal to mid segment of the LIMA,with embolization of a moderate sized thrombus to the distal skip segment.The LIMA stenosis was characterised by overlying haziness,consistent with acute plaque rupture,associated with residual luminal thrombus.The patient was managed with antithrombotic therapy to reduce the thrombus burden until repeat angiography after 72 h.At repeat angiography,the thrombus burden was substantially reduced at the distal skip segment as well as at the proximal to mid LIMA with the demonstration of multiple plaque cavities.This lesion was predilated and a 2.75 mm×33 mm everolimus-eluting stent was implanted to a final diameter of 3.0 mm.The patient made a good clinical recovery and was discharged after 6 d.CONCLUSION This case highlights the rapid and late development of atherosclerosis in a graft 5 years after documented patency and the importance for consideration of expectant thrombus management.Savvy Nandal Om Narayan Peter Barlis Francis A Ponnuthurai 2019World Journal of Cardiology2019,11,11:1
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