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管理科学 2024年第6期

作者：黄丽叶春明郭鹏

针对城市突发事件下的应急手术问题，进行了基于韧性城市视角的分布式应急手术调度研究。首先，提出了韧性城市视角下同时考虑救援时间和患者恶化成本的调度目标；其次，结合应急手术中的疲劳阈值效应，截断学习效应和患者恶化成本等典... 详细信息

针对城市突发事件下的应急手术问题，进行了基于韧性城市视角的分布式应急手术调度研究。首先，提出了韧性城市视角下同时考虑救援时间和患者恶化成本的调度目标；其次，结合应急手术中的疲劳阈值效应，截断学习效应和患者恶化成本等典型特点，以及救援医院的可重入层流手术特点，构建了分布式应急手术调度模型；然后，设计两阶段算法求解患者在医院间的分配，以及在医院内的手术排序与资源安排；最后，通过数值实验测试了四种启发式算法下带深度搜索策略的混合教与学优化算法（Htlbo-LS）的寻优性能，并通过仿真案例进一步探讨了不同算法的应用效果，以及在城市韧性视角下的医疗资源配置方案。研究结果为城市突发事件下分布式应急手术调度提供方法借鉴和决策参考。

关键词：韧性城市分布式手术调度应急手术层流手术可重入 tlbo算法 resilient cities distributed surgical scheduling emergency surgery laminar flow surgery reentrant tlbo algorithm

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Robust frequency control in a renewable penetrated power system: an adaptive fractional order-fuzzy approach

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Protection and Control of Modern Power Systems 2019年第1期4卷 193-207页

作者： Anil Annamraju Srikanth Nandiraju Department of Electrical Engineering National Institute of Technology WarangalWarangalTelangana506004India

Purpose Load frequency control(LFC)in today’s modern power system is getting complex,due to intermittency in the output power of renewable energy sources along with substantial changes in the system parameters and *** address this problem,this paper proposes an adaptive fractional order(FO)-fuzzy-PID controller for LFC of a renewable penetrated power ***/methodology/approach To examine the performance of the proposed adaptive FO-fuzzy-PID controller,four different types of controllers that includes optimal proportional-integral-derivative(PID)controller,optimal fractional order(FO)-PID controller,optimal fuzzy PID controller,optimal FO-fuzzy PID controller are compared with the proposed *** dynamic response of the system relies upon the parameters of these controllers,which are optimized by using teaching-learning based optimization(tlbo)*** simulations are carried out using MATLAB/SIMULINK *** The simulation outcomes reveal the supremacy of the proposed approach in dynamic performance improvement(in terms of settling time,overshoot and error reduction)over other controllers in the literature under different ***/value In this paper,an adaptive FO-fuzzy-PID controller is proposed for LFC of a renewable penetrated power *** main contribution of this work is,a maiden application has been made to tune all the possible parameters of fuzzy controller and FO-PID controller simultaneously to handle the uncertainties caused by renewable sources,load and parametric variations.

关键词： Adaptive fractional order-fuzzy-PID controller Renewable energy sources Load frequency control tlbo algorithm

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Segmentation of Brain Tumor Magnetic Resonance Images Using a Teaching-Learning Optimization algorithm

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Computers, Materials & Continua 2021年第9期68卷 4191-4203页

作者： J.Jayanthi M.Kavitha T.Jayasankar A.Sagai Francis Britto N.B.Prakash Mohamed Yacin Sikkandar C.Bharathiraja Department of Computer Science and Engineering Sona College of TechnologySalem636005TamilnaduIndia Department of Electronics and Communication Engineering K.Ramakrishnan College of TechnologyTrichy621112India Department of Electronics and Communication Engineering University College of EngineeringAnna UniversityTiruchirappalli620024India Department of Mechanical Engineering Rohini College of Engineering and TechnologyPalkulam629401India Department of Electrical and Electronics Engineering National Engineering CollegeKovilpatti628503India Department of Medical Equipment Technology College of Applied Medical SciencesMajmaah UniversityAlMajmaah11952Kingdom of Saudi Arabia Department of Electrical and Electronics Engineering SRM Institute of Science and TechnologyChennai603203India

Image recognition is considered to be the pre-eminent paradigm for the automatic detection of tumor diseases in this *** various cancers identified so far,glioma,a type of brain tumor,is one of the deadliest cancers,and it remains challenging to the medicinal *** only consoling factor is that the survival rate of the patient is increased by remarkable percentage with the early diagnosis of the *** diagnosis is attempted to be accomplished with the changes observed in the images of suspected parts of the brain captured in specific interval of *** the captured image,the affected part of the brain is analyzed using magnetic resonance imaging(MRI)*** of different modalities in the captured MRI image demands the best automated model for the easy identification of malignant *** of image processing techniques are available for processing the images to identify the affected *** study concentrates and proposes to improve early diagnosis of glioma using a preprocessing boosted teaching and learning optimization(P-Btlbo)algorithm that automatically segments a brain tumor in an given MRI *** involves contrast enhancement and skull stripping procedures through contrast limited adaptive histogram equalization *** traditional tlbo algorithm that works with the perspective of teacher and the student is here improved by using a boosting *** results obtained using this P-Btlbo algorithm is compared on different benchmark images for the validation of its *** experimental findings show that P-Btlbo algorithm approach outperforms other existing algorithms of its kind.

关键词： Brain tumor tlbo algorithm skull stripping preprocessing segmentation

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