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Multi-objective evolutionary approach to select security solutions

CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY 2017年第2期2卷 64-67页

作者： Lee, Yunghee Choi, Tae Jong Ahn, Chang Wook Gwangju Inst Sci & Technol GIST Sch Elect Engn & Comp Sci 123 Cheomdangwagi Ro Gwangju South Korea Sungkyunkwan Univ Dept Comp Engn 2066 Seobu Ro Suwon South Korea

In many companies or organisations, owners want to deploy the most efficient security solutions at a low cost. The authors propose a way of choosing the optimised security method from many security methods by multi-objective genetic algorithm (GA) considering cost and weakness decrease in this study. The proposed system can find the best security methods in various aspects of security issues. This study uses the nsga-ii algorithm, which has been authorised in a variety of fields, to provide a comparison with old GAs. Their scheme has increased the dominant area by more than 30% compared with the previous scheme and can provide a more diverse solution set.

关键词： genetic algorithms Pareto optimisation evolutionary computation multiobjective evolutionary approach efficient security solutions optimised security method security methods weakness decrease security issues nsga-ii algorithm diverse solution

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Beam dynamics study of the photoinjector at Wuhan advanced light source

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Radiation Detection Technology and Methods 2024年第3期8卷 1319-1332页

作者： Ze-Yi Dai Yuan-Cun Nie Jian-Hua Zhong Lan-Xin Liu Zi-Shuo Liu Jia-Bao Guan Ji-Ke Wang Yuan Chen Ye Zou Hao-Hu Li Jian-Hua He The Institute for Advanced Studies Wuhan UniversityWuhan430072China

Background A full-energy LINAC is under development at Wuhan Advanced Light Source(WALS)to provide beams for the 1.5 GeV storage ring proposed as a fourth-generation synchrotron radiation light source and a future free electron laser(FEL)*** LINAC starts from a photoinjector that is able to produce electron beams with low emittance(<1 mm·mrad),small relative energy spread(<0.5%),and high bunch charge(~1 nC).Purpose and methods To minimize the output emittance and RMS bunch length for the purpose of improving the photoinjector brightness,the influence of different laser pulse profiles on the slice emittance is investigated,and the beam dynamics simulation is performed with non-dominated sorting genetic algorithm-ii(nsga-ii)combining with ASTRA code to find the optimal solution at a bunch charge of 1 *** and conclusion In this paper,the beam dynamics optimization of the photoinjector is presented in detail;the simulation results imply that the laser pulse profile with 1σtruncated Gaussian distribution in transverse and flat-top-like temporal distribution is beneficial to the improvement of beam brightness of the photoinjector,which shows an output emittance of 0.63 mm·mrad in the case of intrinsic thermal emittance of 0.43 mm·mrad.

关键词： Photoinjector Beam dynamics optimization Beam emittance Driving laser nsga-ii algorithm

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Cost and Availability Optimization of Overspeed Protection System in a Power Plant

Cost and Availability Optimization of Overspeed Protection S...

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International Conference on Advanced Electrical Engineering (ICAEE)

作者： Mellal, Mohamed Arezki Chebouba, Billal Nazim MHamed Bougara Univ Fac Engn Sci FSI LMSS Boumerdes Algeria

ISBN: (纸本)9781728122205

This paper addresses the cost and availability optimization of an overspeed protection system in a power plant. The literature has only treated the reliability or cost of this system as a single-objective. Therefore, the multi-objective optimization problem considering the availability and cost is presented. The Non-dominated Sorting Genetic algorithm ii (nsga-ii) is applied to generate the Pareto front. The numerical results are discussed under two scenarios of minimum allowable availability.

关键词： Overspeed protection power plant availability cost multi-objective optimization nsga-ii algorithm

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Towards optimization of Availability and Cost in Selection of Geo-distributed Clouds Datacenter 10

Towards optimization of Availability and Cost in Selection o...

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10th IEEE International Conference on Application of Information and Communication Technologies (AICT)

作者： Ziafat, Hasan Babamir, Seyed Morteza Univ Kashan Dept Comp Kashan Iran

ISBN: (纸本)9781509018413

With increasing data clouds in different geographical areas, the availability of a datacenter and the cost of using the datacenter are two concerned factors of clouds users. The present research aims to present a method using K-means clustering and nsga-ii multi-objective algorithm to maximize availability and minimizes cost in selecting a datacenter. The proposed approach was applied to some real geographically distributed datacenters. Results showed that proposed approach outperforms greedy and random common algorithms.

关键词： Geo-distributed Datacenter Clustering the K-means algorithm Multi-Objective Optimizing algorithm nsga-ii algorithm

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Research on Optimal Storage Scheme of Containers in the Port Yard Based on Hydrodynamics 6

Research on Optimal Storage Scheme of Containers in the Port...

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6th International Symposium on Project Management (ISPM)

作者： Dong, Hongjin Zhang, Qi Beijing Jiaotong Univ Sch Traff & Transportat 3 Shangyuancun Beijing 100044 Peoples R China

ISBN: (纸本)9781921712661

This paper converts the container arriving at the port into a truck flow using the theory and method of fluid mechanics, and then to analyze the truck flow's running state on the road. Taking the capacity of the port yard as a "valve" to regulate the flow of container trucks, the running state of the truck flow is changed by adjusting the number of containers entering and exiting the yard. On this basis, a multi-objective optimization model is constructed with the objective of the shortest distribution time and minimum storage cost for containers, so as to obtain the optimal container storage plan. Designing the improved nsga-ii algorithm to solve the model. An empirical research was carried out on the Phase ii terminal of Ningbo Beilun port. And results of this paper verify the accuracy and effectiveness of the model and algorithm.

关键词： container yard capacity fluid mechanics multi-objective optimization nsga-ii algorithm pareto solution

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Design of the hybrid harmonic filter to improve power quality of the grid connected hybrid renewable energy system

Design of the hybrid harmonic filter to improve power qualit...

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Iranian Conference on Renewable Energy and Distributed Generation (ICREDG)

作者： Assi, Amirhossein Tafreshi, Seyed Masoud Moghaddas Inst Higher Educ Sardar Jangal Rasht Iran Univ Guilan Dept Elect Engn Rasht Iran

ISBN: (纸本)9781728147215

With advancement of technology, renewable energy sources have become more economical, and network loads have become more sensitive to power quality. Renewable Energy systems due to the voltage converters used in their structure, cause power quality problems such as harmonic distortion in the power grid. And also increasing the penetration of Renewable Energy Sources can increase power quality problems. In this paper to improve power quality of the renewable energy system, a parallel hybrid harmonic filter is proposed. The hybrid harmonic filter is a combination of active and passive filter that work together to compensate harmonics in the renewable energy system. In the hybrid filter, size and number of passive filters, hysteresis bandwidth and PI controller gains of the active filter, are optimized by nsga-ii algorithm. The results show performance of the proposed hybrid harmonic filter.

关键词： Harmonic Distortion nsga-ii algorithm Hybrid harmonic filter renewable energy system power quality

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Route Planning Strategy for Smart Tourism Services Development 6

Route Planning Strategy for Smart Tourism Services Developme...

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6th International Symposium on Electrical and Electronics Engineering (ISEEE)

作者： Pop, Mihai Avram, Camelia Domuta, Claudiu Radu, Dan Astilean, Adina TUCN Automat Dept Cluj Napoca Romania

ISBN: (纸本)9781728129068

The paper proposes a route planning strategy integrated in a software platform, capable to offer personalized visiting program for touristic zones. The presented solution is based on the utilization of multimodal intelligent transportation systems, having the potential to contribute to the development of smart low-carbon cities. The considered approach is based on two different routing algorithms: an exact one, the Martins algorithm, applied for the initial scheduling of the travel and nsga-ii, and a faster metaheuristic algorithm to tackle momentary modifications generated by new decisions and unexpected events. The multi-objective scheduling strategy was implemented and tested for medium, time dependent transport networks. In order to develop smart tourism services, the platform also integrates the conceptual and implementation support offered by cloud computing.

关键词： smart tourism cloud computing routing algorithms Martins algorithm nsga-ii algorithm

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A Multi-objective Optimization Framework to Design Soft-Error-Immune Circuit 19

A Multi-objective Optimization Framework to Design Soft-Erro...

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19th European Conference on Radiation and Its Effects on Components and Systems (RADECS)

作者： Li, Yan Han, Jun Han, Yuanyuan Zeng, Xiaoyoung Zeng, Xiaoyang Fudan Univ Sch Microelect State Key Lab ASIC & Syst Shanghai Peoples R China

ISBN: (纸本)9781728156996

It is widely accepted that Triple Module Redundancy (TMR) hardened method is one of the most effective approach to protect circuit from soft error. However, while the mitigation of Soft Error Rate (SER) entails the inevitable sacrifice of area and power, little attention has been drawn to an optimization method to explore a trade-off between area, power and SER. Thus, with the help of neural network algorithm and nsga-ii algorithm, this study investigates a multi-objective optimization model as a guidance on Soft-Error-Immune circuit design.

关键词： Triple Module Redundancy soft error multiobjective optimization neural network algorithm nsga-ii algorithm radiation hardening by design

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Load Matching Design and Multi-objective Optimization of Helicopter EHA 20th

Load Matching Design and Multi-objective Optimization of Hel...

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20th Chinese Intelligent Systems Conference

作者： Wang, Chao Sun, Mingwei Fu, Jian Beihang Univ Sch Mech Engn & Automat Beijing 100191 Peoples R China

ISBN: (纸本)9789819786565;9789819786541;9789819786534

In recent years, more-electric technology has been gradually introduced into the aviation field, which shows higher maintainability than the traditional hydraulic system. In this paper, a load matching method is proposed for the preliminary design of helicopter EHA. Firstly, reasonably match the power curve and the load curve to ensure the output capacity is sufficient;secondly, determine the optimization design process by establishing the reasonable estimation models;and finally calculate all the parameters based on the optimal solution combination, which is generated by the multi-objective optimization algorithm.

关键词： Electro-hydrostatic actuator Load matching Parameter design nsga-ii algorithm

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Research on Intelligent Optimization Method of HF Ground-to-Air Network Link 24

Research on Intelligent Optimization Method of HF Ground-to-...

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International Conference on Machine Intelligence and Digital Applications (MIDA)

作者： Li, Chao Li, Wei Chen, Zilong Ye, Xiangyang Air Force Engn Univ Inst Informat & Nav Xian 710077 Peoples R China

ISBN: (纸本)9798400718144

HF communication is one of the main ways of long-distance ground-to-air communication, using ionosphere as transmission medium. This communication mode has the advantages of low cost, simple equipment and strong loss resistance. However, the ionospheric transmission medium has the characteristics of time-varying dispersion, and its propagation characteristics will change with solar activity, geographical location and seasonal changes, resulting in unstable transmission quality of HF communication. Aiming at the problems related to HF ground-to-air communication, based on the analysis of the coverage requirements of aircraft flight area, this paper uses nsga-ii genetic algorithm and simulated annealing algorithm to optimize the analysis and calculation, and obtains the optimal configuration results of frequency selection scheme, site selection and antenna selection. Through the comparative analysis of optimization time and optimization quality, it is concluded that nsga-ii genetic algorithm is more suitable for link optimization.

关键词： HF Ground-to-Air Network nsga-ii algorithm Simulated Annealing algorithm Link Optimization Site and Frequency Assignment

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