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Articles 8401 - 8430 of 25626

Full-Text Articles in Computer Engineering

Rethinking The Weakness Of Stream Ciphers And Its Application To Encrypted Malware Detection, William T. Stone, Junggab Son Jul 2020

Rethinking The Weakness Of Stream Ciphers And Its Application To Encrypted Malware Detection, William T. Stone, Junggab Son

Master of Science in Computer Science Theses

Encryption key use is a critical component to the security of a stream cipher: because many implementations simply consist of a key scheduling algorithm and logical exclusive or (XOR), an attacker can completely break the cipher by XORing two ciphertexts encrypted under the same key, revealing the original plaintexts and the key itself. The research presented in this paper reinterprets this phenomenon, using repeated-key cryptanalysis for stream cipher identification. It has been found that a stream cipher executed under a fixed key generates patterns in each character of the ciphertexts it produces and that these patterns can be used to …

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Audio-Visual Caption Evaluation Metric For People Who Are Deaf And Hard Of Hearing, Akhter Al Amin Jul 2020

Audio-Visual Caption Evaluation Metric For People Who Are Deaf And Hard Of Hearing, Akhter Al Amin

Articles

While the availability of captioned television programming has increased, the quality of this captioning is not always acceptable to Deaf and Hard of Hearing (DHH) viewers, especially for live or unscripted content, broadcast from local television stations, especially in smaller markets. There is a need for formal metrics to evaluate captioning quality, to enable audits or quality assurance. Although some current caption metrics focus on comparing the textual accuracy (comparing the caption text and accurate transcription of what was spoken), there are other properties of captions that may affect quality or usability judgments. We propose to conduct experiments with DHH …

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A Multicriteria Aware Optimal Routing Approach For Enhancing Quality Of Service In Device To Device Communication, Tilwari Valmik Jul 2020

A Multicriteria Aware Optimal Routing Approach For Enhancing Quality Of Service In Device To Device Communication, Tilwari Valmik

Student Works (2020-2029)

As the world is moving towards the digitalization era, increasing demands of higher data rates, energy effiffifficiency, and seamless connectivity are skyrocketing. Device-to-Device (D2D) communication is one of the key technologies for future Fifth Generation (5G) network. D2D communication technology enhances network coverage, boosts spectral efficiency, has low latency, and enables the devices to communicate with each other, with partial or none involvement of network infrastructure. Therefore, factors of such nature make D2D communication a promising medium guarantying reliability to several telecommunications scenarios. D2D caters to all the needs of it’s users, from the high demand of peer-to-peer users for …

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Optimal Network Reconfiguration And Distributed Generation Sizing With Consideration Of Protection System, Abdul Rahim Mohamad Norshahrani Jul 2020

Optimal Network Reconfiguration And Distributed Generation Sizing With Consideration Of Protection System, Abdul Rahim Mohamad Norshahrani

Student Works (2020-2029)

Research on network reconfiguration (NR) considering distributed generation (DG) commonly focus on the issues of power loss, voltage deviation, DG sizing and its placement. These works are important and required in the planning stage of the distribution networks. In most of the past works, the protection system is neglected in this stage although it is essential to prevent the network from damages during operation. Without proper consideration of protection system settings and coordination during NR, the protection system may operate inaccurately. This happens due to changes in current flow and fault level when the network changes its configuration. As a …

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Dynamic Modeling And Optimal Design For Net Zero Energy Houses Including Hybrid Electric And Thermal Energy Storage, Huangjie Gong, Vandana Rallabandi, Dan M. Ionel, Donald Colliver, Shaun Duerr, Cristinel Ababei Jul 2020

Dynamic Modeling And Optimal Design For Net Zero Energy Houses Including Hybrid Electric And Thermal Energy Storage, Huangjie Gong, Vandana Rallabandi, Dan M. Ionel, Donald Colliver, Shaun Duerr, Cristinel Ababei

Electrical and Computer Engineering Faculty Research and Publications

Net zero energy (NZE) houses purchase zero net metered electricity from the grid over a year. Technical challenges brought forth by NZE homes are related to the intermittent nature of solar generation, and are due to the fact that peak solar generation and load are not coincident. This leads to a large rate of change of load, and in case of high PV penetration communities, often requires the installation of gas power plants to service this variability. This article proposes a hybrid energy storage system including batteries and a variable power electric water heater which enables the NZE homes to …

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Skin-Mimo: Vibration-Based Mimo Communication Over Human Skin, Dong Ma, Yuezhong Wu, Ming Ding, Mahbub Hassan, Wen Hu Jul 2020

Skin-Mimo: Vibration-Based Mimo Communication Over Human Skin, Dong Ma, Yuezhong Wu, Ming Ding, Mahbub Hassan, Wen Hu

Research Collection School Of Computing and Information Systems

We explore the feasibility of Multiple-Input-Multiple-Output (MIMO) communication through vibrations over human skin. Using off-the-shelf motors and piezo transducers as vibration transmitters and receivers, respectively, we build a 2x2 MIMO testbed to collect and analyze vibration signals from real subjects. Our analysis reveals that there exist multiple independent vibration channels between a pair of transmitter and receiver, confirming the feasibility of MIMO. Unfortunately, the slow ramping of mechanical motors and rapidly changing skin channels make it impractical for conventional channel sounding based channel state information (CSI) acquisition, which is critical for achieving MIMO capacity gains. To solve this problem, we …

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Identification Of Users Via Ssh Timing Attack, Thomas J. Flucke Jul 2020

Identification Of Users Via Ssh Timing Attack, Thomas J. Flucke

Master's Theses

Secure Shell, a tool to securely access and run programs on a remote machine, is an important tool for both system administrators and developers alike. The technology landscape is becoming increasingly distributed and reliant on tools such as Secure Shell to protect information as a user works on a system remotely. While Secure Shell accounts for the abuses the security of older tools such as telnet overlook, it still has fundamental vulnerabilities which leak information about both the user and their activities through timing attacks. The OpenSSH client, the implementation included in all Linux, Mac, and Windows computers, sends each …

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Relational Joins On Gpus For In-Memory Database Query Processing, Ran Rui Jun 2020

Relational Joins On Gpus For In-Memory Database Query Processing, Ran Rui

USF Tampa Graduate Theses and Dissertations

Relational join processing is one of the core functionalities in database management systems. Implementing join algorithms on parallel platforms, especially modern GPUs, has gain a lot of momentum in the past decade. This dissertation addresses the following issues on GPU join algorithms. First, we present empirical evaluations of a state-of-the-art work on GPU-based join processing. Since 2008, the compute capabilities of GPUs have increased following a pace faster than that of the multi-core CPUs. We run a comprehensive set of experiments to study how join operations can benefit from such rapid expansion of GPU capabilities. We also present improved GPU …

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Moving Targets: Addressing Concept Drift In Supervised Models For Hacker Communication Detection, Susan Mckeever, Brian Keegan, Andrei Quieroz Jun 2020

Moving Targets: Addressing Concept Drift In Supervised Models For Hacker Communication Detection, Susan Mckeever, Brian Keegan, Andrei Quieroz

Conference papers

Abstract—In this paper, we are investigating the presence of concept drift in machine learning models for detection of hacker communications posted in social media and hacker forums. The supervised models in this experiment are analysed in terms of performance over time by different sources of data (Surface web and Deep web). Additionally, to simulate real-world situations, these models are evaluated using time-stamped messages from our datasets, posted over time on social media platforms. We have found that models applied to hacker forums (deep web) presents an accuracy deterioration in less than a 1-year period, whereas models applied to Twitter (surface …

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Simulation-Based An Exploratory Analysis Of Drone Air Strike On Saudi Oilfields, Jiajun Zhang, Xiaochao Qian, Jinpeng Zhou, Xuanling Wang, Zhifeng Lu Jun 2020

Simulation-Based An Exploratory Analysis Of Drone Air Strike On Saudi Oilfields, Jiajun Zhang, Xiaochao Qian, Jinpeng Zhou, Xuanling Wang, Zhifeng Lu

Journal of System Simulation

Abstract: The incident of air strike in Sandi Arabia in September 2019 is taken as an example，A rapid analysis method for crisis events based on simulation is proposed. Combining the simulation with the exploratory analysis, the uncertainty of crisis events is comprehensively analyzed and dealt with. According to the public information of the incidents details from Sandi Arabia, Yemen, the combat situation of the air strike is replayed based on the wargaming. The rationality and authenticity of the details in the event statement is verified and can also provide reference to the development and combat research of the “Low, Small …

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Multi-Tank Adaptive Scheduling Algorithm And Simulation For Ship Stability Realization, Xiong Yong, Xuanzhuo Liang, Zhang Jia Jun 2020

Multi-Tank Adaptive Scheduling Algorithm And Simulation For Ship Stability Realization, Xiong Yong, Xuanzhuo Liang, Zhang Jia

Journal of System Simulation

Abstract: Aiming at the influence of the oil tank on the floating state and stability of the ship, the multi-tank adaptive dispatching control algorithm to maintain the stability of the ship is studied. The automatic floating state adjustment simulation system of the ship is realized by the WinCC (Windows Control Center) configuration software. For the system architecture, the Boolean logic table is used to construct the connection relationships of the oil tanks, pumps and pipelines, and the amount of oil exchange between the cabins is calculated according to the floating equation, and the balance of the floating state in the …

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Simulation-Based Effectiveness Evaluation For System-Of-System Under Multi-Equipment Collaboration, Ma Ning, Shenglin Lin Jun 2020

Simulation-Based Effectiveness Evaluation For System-Of-System Under Multi-Equipment Collaboration, Ma Ning, Shenglin Lin

Journal of System Simulation

Abstract: Complex coordination exists among the various equipment in the system-of-system (SoS) operational process. The influence relationship among the various indexes is ignored in the traditional effectiveness evaluation methods. Aiming at this, a new effectiveness evaluation approach for the SoS is proposed. Numerous evaluation data is analyzed, based on the association rules mining, to obtain the influence among the effectiveness indexes. The networked evaluation index system is constructed, and the effectiveness integration evaluation is realized based on the analytic network process. The feasibility and validity of the proposed method are verified by evaluating the effectiveness of an air defense SoS.

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Identification Method For Fractional-Order Systems Based On Haar Wavelet Operational Matrix, Yuanlu Li, Li Teng, Baoying Liu Jun 2020

Identification Method For Fractional-Order Systems Based On Haar Wavelet Operational Matrix, Yuanlu Li, Li Teng, Baoying Liu

Journal of System Simulation

Abstract: Studies have shown that the dynamical systems can be more accurately described by the fractional-order systems because its order can be any number. That’s why the fractional-order systems are being paid more and more attention. However, how to create a fractional-order system is still in the exploratory stage. Considering the nonlocal features of the fractional differentiation, a method for the fractional-order system identification is proposed by taking the Haar wavelet operational matrix. The proposed method can reduce the dimension of the operational matrix by abandoning the high frequency coefficients of the input and output signals so that the buffer …

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Virtual-Point-Light Sampling Algorithm Based On Indirect Illumination Clustering Of Visible Scene Region, Chen Sheng, Chunyi Chen, Qiwei Xing, Chaozhi Yang Jun 2020

Virtual-Point-Light Sampling Algorithm Based On Indirect Illumination Clustering Of Visible Scene Region, Chen Sheng, Chunyi Chen, Qiwei Xing, Chaozhi Yang

Journal of System Simulation

Abstract: Focusing on the accuracy of indirect illumination calculation, an improved view-sensitive virtual point light (VPL) sampling method is proposed. The visible shading points are clustered according to the positions and normal vectors. The product of the contribution of VPLs on the representative visible shading points and the number of VPLs belonging to the same class is calculated, and the sum of the products is treated as the estimation of the indirect illumination which constructs the cumulative distribution function (CDF). On the basis of the CDF, the VPLs of calculating the indirect illumination on every visible shading point are selected. …

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Augmented Reality Interactive Media System For Ancient Buildings Based On Servomotor, Xingquan Cai, Zhe Yang, He Xin, Chen Chao Jun 2020

Augmented Reality Interactive Media System For Ancient Buildings Based On Servomotor, Xingquan Cai, Zhe Yang, He Xin, Chen Chao

Journal of System Simulation

Abstract: Augmented reality is usually limited to the screen devices, and is difficult to realize the stereoscopic dynamic interaction of multiplayer. A large screen interactive display method based on the servo motor is prsented. The serial communication program to control the scanning reciprocating mode of the servo is designed. By using the edge detection methods and deep normal texture processing, the line draft of the ancient buildings is rendered. By combining the hardware and presentation application modules, the user interaction capabilities and seasonal effects is added to the showcase application modules. The experimental results show that the interactive media system …

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Adaptive Differential Crisscross Optimization Algorithm For Dynamic Economic Emission Dispatch Considering Wind Power, Panpan Mei, Lianghong Wu, Hongqiang Zhang, Huiying Wang Jun 2020

Adaptive Differential Crisscross Optimization Algorithm For Dynamic Economic Emission Dispatch Considering Wind Power, Panpan Mei, Lianghong Wu, Hongqiang Zhang, Huiying Wang

Journal of System Simulation

Abstract: Because of the randomness and fluctuation of the wind power, the large scale wind power integration makes the economic emission dispatch of power systems more complicated. By fusing the advantages of the differential evolution algorithm with the parameter self-adaption and crisscross optimization, a hybrid intelligent optimization algorithm called ADE-CSO is proposed to solve the dynamic economic emission dispatch considering wind power integration. A constraint handling technology is introduced to satisfy the feasibility of the power balance and ramp limits. To demonstrate the effectiveness of the proposed algorithm, a typical test case of five generator bus system is conducted and …

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Classification Of Chest X-Ray Disease Based On Convolutional Neural Network, Huang Xin, Fang Yu, Mengdan Gu Jun 2020

Classification Of Chest X-Ray Disease Based On Convolutional Neural Network, Huang Xin, Fang Yu, Mengdan Gu

Journal of System Simulation

Abstract: The artificial intelligence technology can effectively assist the chest X-ray diagnosis. On the basis of the analysis of Chinese reports of chest X-rays, a labeling method of the thoracic disease classification for the chest abnormal parts is proposed and a dataset of the thoracic disease classification labels is complied. The thoracic disease classification is evaluated through four kinds of convolutional neural networks, AlexNet, VGGNet, ResNet and DenseNet and through three kinds of training methods, direct training, ImageNet pre-training and Chest X-14 pre-training. The result shows that the more complicated convolutional neural network with the more parameters, the better performance …

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Managing Off-Grid Power Use For Solar Fueled Residences With Smart Appliances, Prices-To-Devices And Iot, Donnelle L. January Jun 2020

Managing Off-Grid Power Use For Solar Fueled Residences With Smart Appliances, Prices-To-Devices And Iot, Donnelle L. January

USF Tampa Graduate Theses and Dissertations

Electricity availability has a profound impact in day to day life. Activities such as lighting homes, charging cellphones, and running appliances all depend on electricity use. Around 1 billion people around the world do not have access to electricity, and the majority of these people hail from developing countries in remote areas. Moreover, many of these remote areas lack utility grid access due to the infeasible cost of extending the grid to remote communities. To combat this, various projects on microgrids have been implemented in order to distribute power to these off-grid areas. Nanogrids are defined as “a single domain …

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Study On Evacuation Cellular Automaton Model Considering Avoidance Behavior, Yinghua Song, Zhang Yu, Feizhou Huo, Lü Wei, Yaping Ma Jun 2020

Study On Evacuation Cellular Automaton Model Considering Avoidance Behavior, Yinghua Song, Zhang Yu, Feizhou Huo, Lü Wei, Yaping Ma

Journal of System Simulation

Abstract: To study the avoidance behavior in the evacuation process, a cellular automaton model considering avoidance behavior is established. The model divides the evacuees into avoiders and transferees, and reflects the avoidance behavior by changing the selected probability of evacuees. The impact of the avoidance behavior on the efficiency and evacuation process in different personnel ratios and different initial positions is analyzed. The results show that the avoidance behavior can optimize the evacuation sequence, improve the evacuation efficiency and reduce the risk of evacuation process. The evacuation time is significantly reduced when the probability of avoidance exceeds the thread value, …

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Crowd Evacuation Model Based On Improved Pso Algorithm, Changhua Li, Chenggong Bi, Zhijie Li Jun 2020

Crowd Evacuation Model Based On Improved Pso Algorithm, Changhua Li, Chenggong Bi, Zhijie Li

Journal of System Simulation

Abstract: Aiming at the poor local optimization ability and easy premature convergence of the particle swarm optimization (PSO) algorithm in evacuation simulation, a crowd evacuation model based on the improved PSO algorithm is proposed. On the basis of the original model, factors such as the forward driving force, exclusion driving force and panic degree of evacuees are introduced. According to the environmental factors and crowd movement, evacuees' direction is dynamically adjusted, and tends to the ideal exit under the optimal exit selection mechanism. The parametric simulation experiment of evacuation efficiency is carried out for the physical factors such as the …

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Research On Modeling Technology For Hard Cutting Process, Caixu Yue, Liu Xin, Jiang Nan, Xianli Liu, Genghuang He, Lingxiang Li Jun 2020

Research On Modeling Technology For Hard Cutting Process, Caixu Yue, Liu Xin, Jiang Nan, Xianli Liu, Genghuang He, Lingxiang Li

Journal of System Simulation

Abstract: The hard cutting has the features of the high maching flexibility, economical efficiency and environmental friendliness, and is widely used in automobile industry, bearing industry, hydraulic industry, etc. The simulation modeling not only plays an important role in predicting the performance of the hard machining and optimizing machining parameters, but also better reflects the nature of the machining and provides the theoretical guidance to the actual machining. The simulation modeling methods of the hard cutting at home and abroad are introduced, and the chip formation, cutting force, cutting temperature, tool wear and machined surface quality are summarized, and the …

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Spatiotemporal Saliency Detection Of Infrared Videos Based On Gestalt-Guided Optimization, Wang Xin, Chunyan Zhang, Ning Chen Jun 2020

Spatiotemporal Saliency Detection Of Infrared Videos Based On Gestalt-Guided Optimization, Wang Xin, Chunyan Zhang, Ning Chen

Journal of System Simulation

Abstract: A spatiotemporal saliency detection method based on Gestalt optimization is proposed. A method based on the multi-scale local sparse representation and local contrast measure is proposed to compute the spatial saliency in the infrared videos. A multi-frame symmetric difference approach is adopted to detect the temporal saliency. To get the initial spatiotemporal saliency map, a scheme based on the mutual-consistency is designed to fuse the spatial and temporal saliency maps adaptively. A Gestalt-guided optimization method is designed to calculate the final spatiotemporal saliency map. Experimental results show that the proposed method can effectively detect the spatiotemporal saliency of infrared …

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A Discrete Krill Herd Algorithm For The No-Wait Flow Shop Scheduling Problem, Changping Liu, Zhenfu Jian, Wenhan Fu Jun 2020

A Discrete Krill Herd Algorithm For The No-Wait Flow Shop Scheduling Problem, Changping Liu, Zhenfu Jian, Wenhan Fu

Journal of System Simulation

Abstract: A discrete krill herd algorithm (DKH) is proposed to solve the no-wait flow shop scheduling problem (NWFSP) with the makespan criterion. Based on the characteristics of the optimization mechanism, the notion of “virtual food” in krill herd algorithm and the influenced crossover rules between krill individuals are defined. The concept and calculation method of the individual distance are redefined to measure the neighborhood range to realize the information exchange. The local search strategies of random swap, inverse and insert operator are employed to enhance the local search ability of DKH, and the multiple initialization strategies are redesigned to promote …

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3d Reconstruction Of Uav Sequence Image Based On Motion Structure Graph, Yuhao Wu, Xuefeng Cao, Jinchao Peng, Lianrui Xu Jun 2020

3d Reconstruction Of Uav Sequence Image Based On Motion Structure Graph, Yuhao Wu, Xuefeng Cao, Jinchao Peng, Lianrui Xu

Journal of System Simulation

Abstract: UAV sequence image has the characteristics of high overlap and strong topological connection. Aiming at the inefficient and unstable in processing the large-scale UAV images of the existing incremental 3D reconstruction algorithm, a 3D reconstruction method based on motion structure graph is proposed. The image matching index is established by using the geolocation information and IMU data to improve the image matching efficiency, and the random motion consistency algorithm is used to calculate the relative motion; motion structure graph is used to represent the "association" between images, and closed-loop detection algorithm is used to eliminate the false edges. Under …

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Intelligent Evaluation Of Simulation Training For Aerial Ammunition Technical Support, Xu Gang, Zhang Lei, Tian Lei Jun 2020

Intelligent Evaluation Of Simulation Training For Aerial Ammunition Technical Support, Xu Gang, Zhang Lei, Tian Lei

Journal of System Simulation

Abstract: Quantitative evaluation is an important part of the simulation training of the Aviation Ammunition technical support. In order to realize the automatic evaluation of the simulation training, intelligent evaluation technology is introduced, and a prediction model based on Sigmoid regression is proposed. On the basis of analyzing the linear relationship of the sample data of the performance indicators, a subset of the characteristic indicators is selected as the input of the prediction mathematical model. In order to avoid the gradient descent method falling into the local solution problem, the gradient descent + PSO algorithm is presented. After testing the …

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Modeling And Simulation Of Quadrotor Uav With Vector Thrust Based On Backstepping, Zhou Nan, Wang Liang, Jianliang Ai Jun 2020

Modeling And Simulation Of Quadrotor Uav With Vector Thrust Based On Backstepping, Zhou Nan, Wang Liang, Jianliang Ai

Journal of System Simulation

Abstract: Combined with characteristics of the traditional quadrotor and the quad tilt-wing UAV, a quadrotor UAV with the vector thrust (VTQ) is proposed. This UAV has the ability of vertical take-off and landing and hovering, as well as the high maneuverability of the traditional quad tilt-wing UAV. It has the ability of completing the diversified tasks by being specified the desired yaw angle and pitch angle. Control system adopts the method of the layered design. The upper layer is the position control system, the lower layer is the attitude control system, and the control laws are both designed by the …

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Dynamics Modeling And Simulation Of Gait Rehabilitation Robot Based On Lie Groups And Lie Algebras Theory, Bingjing Guo, Jianhai Han, Xiangpan Li, Yan Lin Jun 2020

Dynamics Modeling And Simulation Of Gait Rehabilitation Robot Based On Lie Groups And Lie Algebras Theory, Bingjing Guo, Jianhai Han, Xiangpan Li, Yan Lin

Journal of System Simulation

Abstract: A pneumatic-driven gait rehabilitation robot based on rigid mechanism and flexible driver is designed. To explore the dynamic characteristics of the human-robot harmony system constructed by patients and the exoskeleton robot, the dynamic models of human, robot and human-robot system in different gait phases are established based on Lie group and Lie algebra theory. The driving and energy characteristics of three rehabilitation training modes of passive, active assistance and resistance are analyzed. The robot joint driven moment and the human active moment are simulated to verify the Lie group and Lie algebraic modeling method and the dynamic model. It …

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Simulation Optimization Of Initial Fire Evacuation Schemes For Vertical Ship Lift, Chen Shu, Xi Yan, Jianping Wang, Menghan Shang, Li Zhi Jun 2020

Simulation Optimization Of Initial Fire Evacuation Schemes For Vertical Ship Lift, Chen Shu, Xi Yan, Jianping Wang, Menghan Shang, Li Zhi

Journal of System Simulation

Abstract: In order to improve the efficiency of fire evacuation in the initial stage of the vertical ship lift and reduce the evacuation time, the structure and evacuation channel of the vertical ship lift are analyzed to identity the vertical evacuation path. The vertical evacuation time is determined by comparing the evacuation time of stairs and elevator based on the docking rules of cargos. Aiming at the shortest vertical evacuation time the evacuation time of the different docking elevations is simulated to obtain the optimal evacuation plan. The results show that, when the distance between the docking elevation and the …

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Study Of Parallelized Graph Clustering Algorithm Based On Spark, Dongjiang Liu, Jianhui Li Jun 2020

Study Of Parallelized Graph Clustering Algorithm Based On Spark, Dongjiang Liu, Jianhui Li

Journal of System Simulation

Abstract: The parallelized graph clustering algorithm is researched. A new parallelized graph clustering algorithm is proposed based on Spark. As the top operation of Spark occupies a lot of memory space, a new algorithm which is used to substitute the top operation is proposed to reduce the memory consumption. By improving bottom up hierarchical clustering algorithm, the speed of the proposed algorithm is improved. A new data filtering method based on the feature of graph data is proposed. By the method, the running time and memory space comsuption is reduced greatly. The reason of the high efficiency of this filtering …

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A Multi-Strategy Differential Evolution Algorithm Combined With Neighborhood Search, Can Sun, Xinyu Zhou, Mingwen Wang Jun 2020

A Multi-Strategy Differential Evolution Algorithm Combined With Neighborhood Search, Can Sun, Xinyu Zhou, Mingwen Wang

Journal of System Simulation

Abstract: The difficulties of designing a multi-strategy differential evolution (DE) algorithm are how to select the mutation strategies and allocate these strategies. A multi-strategy DE algorithm combined with the neighborhood search operator is proposed. The population is divided into three subpopulations according to the fitness values, and each subpopulation employs a different mutation strategy and parameter settings to complement the search ability, to balance the exploration and exploitation ability of the whole population. The subpopulation with the best fitness values employs the neighborhood search operator to exploit possible benefit information to guide the search. Extensive experiments are carried out on …

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