检索结果-内蒙古大学图书馆

Parallel non-dominated sorting genetic algorithm-II-based image encryption technique

The Journal of Photographic Science 2018年第8期66卷 453-462页

ABSTRACTABSTRACTChaotic system requires parameters to generate random sequences. Recent studies show that the improper selection of parameter values make secret keys generated from chaotic system vulnerable. Meta-heuristic techniques have been introduced in the area of image encryption to improve the selection of chaotic system parameters. But, these techniques suffer from poor computational speed. To overcome this issue, in this paper, a parallel non-dominated sorting genetic algorithm (NSGA-II)-based intertwining logistic map is proposed to encrypt the images. To implement NSGA-II in parallel fashion, master–slave environment is designed. Initially, the execution time analysis of NSGA-II is done to determine the computationally expensive operations. Thereafter, NSGA-II operators are divided into master and slave jobs. The Message Passing Interface (MPI) is used for intercommunication between master and slave nodes. The simulation results show that the parallel proposed technique provides a significant improvement in computational speed as compared to the existing techniques.

关键词： Image encryption non-dominated sorting genetic algorithm intertwining logistic map security analysis

来源：评论

学校读者我要写书评

暂无评论

A non-dominated sorting genetic algorithm III using competition crossover and opposition-based learning for the optimal dispatch of the combined cooling, heating, and power system with photovoltaic thermal collector

引用

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 128卷

作者： Zou, Dexuan Li, Mengdi Ouyang, Haibin Jiangsu Normal Univ Sch Elect Engn & Automat Xuzhou 221116 Jiangsu Peoples R China Guangzhou Univ Sch Mech & Elect Engn Guangzhou 510006 Guangdong Peoples R China

A photovoltaic thermal collector (PV/T) is incorporated into the combined cooling, heating, and power (CCHP) system to decrease primary energy consumption, operation cost and carbon dioxide emission. Six CCHP scenarios based on three strategies are investigated for the energy utilization of the CCHP system. Also, a non-dominated sorting genetic algorithm III using competition crossover and opposition-based learning (NSGA-III-CO) is proposed for the six scenarios. The competition crossover determines the starting point of search in the decision space, and more potential regions can be exploited sufficiently. The opposition-based learning (OBL) carries out random searches and facilitates the convergence of the population. In addition, a constraint handling approach (CHA) is presented to decrease the constraint violations of the infeasible individuals and turn them into feasible individuals, and it guarantees the feasibility of the population. Experimental results suggest that each CCHP scenario with PV/T is more efficient than the one with photovoltaic panel (PV) and the one neglecting PV/T and PV, and it achieves the lowest primary energy consumption, operation cost and carbon dioxide emission. Also, NSGA-III-CO and the other three algorithms are applied to the six CCHP scenarios with PV/T, and it obtains the highest hypervolume and coverage rate for each scenario.

关键词： Photovoltaic thermal collector Combined cooling heating and power system Energy utilization non-dominated sorting genetic algorithm Constraint handling approach

来源：评论

学校读者我要写书评

暂无评论

The Multi-Objective Design of Laminated Structure with non-dominated sorting genetic algorithm

引用

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2022年第10期13卷 901-906页

作者： Zhang, Huiyao Wang, Yuxiao Zeng, Fangmeng Wuxi Taihu Univ Jiangsu Key Construct IoT Applicat Technol Wuxi Peoples R China Donghua Univ Coll Text Shanghai Peoples R China Zhejiang Sci Tech Univ Coll Text Sci & Engn Hangzhou Peoples R China

non-dominated sorting genetic algorithm has shown excellent advantages in solving complicated optimization problems with discrete variables in a variety of domains. In this paper, we implement a multi-objective genetic algorithm to guide the design of the laminated structure with two objectives: minimizing the mass and maximizing the strength of a specified structure simultaneously, classical lamination theory and failure theory are adopted to compute the strength of a laminate. The simulation results have shown that a non-dominated genetic algorithm has great advantages in the design of laminated composite material. Experiment results also suggest that optimal run times are from 16 to 32 for the design of glass-epoxy laminate with non-dominated sorting genetic algorithm. We also observed that two stages involve the optimization process in which the number of individuals in the first frontier first increases, and then decreases. These simulation results are helpful to decide the proper run times of genetic algorithms for glass-epoxy design and reduce computation costs.

关键词： non-dominated sorting genetic algorithm optimization failure theory laminated composite material classical lamination theory

来源：评论

学校读者我要写书评

暂无评论

Solving a New Multi-objective Inventory-Routing Problem by a non-dominated sorting genetic algorithm

引用

INTERNATIONAL JOURNAL OF ENGINEERING 2018年第4期31卷 588-596页

作者： Arab, R. Ghaderi, S. F. Tavakkoli-Moghaddam, R. Univ Tehran Sch Ind Engn Coll Engn Tehran Iran

This paper considers a multi-period, multi-product inventory-routing problem in a two-level supply chain consisting of a distributor and a set of customers. This problem is modeled with the aim of minimizing bi-objectives, namely the total system cost (including startup, distribution and maintenance costs) and risk-based transportation. Products are delivered to customers by some heterogeneous vehicles with specific capacities through a direct delivery strategy. Additionally, storage capacities are considered limited and the shortage is assumed to be impermissible. To validate this new bi-objective model, the epsilon-constraint method is used for solving problems. The epsilon-constraint method is an exact method for solving multi-objective problems, which offers Pareto's solutions, such as meta-heuristic algorithms. Since problems without distribution planning are very complex to solve optimally, the problem considered in this paper also belongs to a class of NP-hard ones. Therefore, a non-dominated sorting genetic algorithm (NSGA-II) as a well-known multi-objective evolutionary algorithm is used and developed to solve a number of test problems. In this paper, 20 sample problems with the epsilon-constraint method and NSGA-II are solved and compared in different dimensions based on Pareto's solutions and the time of resolution. Furthermore, the computational results showed the better performance of the NSGA-II.

关键词： Inventory-routing Problem Multi-objective Optimization e-constraint Method non-dominated sorting genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

non-dominated sorting genetic algorithms for a Multi-objective Resource Constraint Project Scheduling Problem

引用

JOURNAL OF INTELLIGENT SYSTEMS 2019年第5期28卷 791-806页

作者： Wang, Xixi Yalaoui, Farouk Dugardin, Frederic Univ Technol Troyes ICD LOSI UMR CNRS 6281 12 Rue Marie CurieCS 42060 F-10004 Troyes France

The resource constraint project scheduling problem (RCPSP) has attracted growing attention since the last decades. Precedence constraints are considered as well as resources with limited capacities. During the project, the same resource can be required by several in-process jobs and it is compulsory to ensure that the consumptions do not exceed the limited capacities. In this paper, several criteria are involved, namely makespan, total job tardiness, and workload balancing level. Our problem is firstly solved by the non-dominated sorting genetic algorithm-II (NSGAII) as well as the recently proposed NSGAIII. Giving emphasis to the selection procedure, we apply both the traditional Pareto dominance and the less documented Lorenz dominance into the niching mechanism of NSGAIII. Hence, we adopt and modify L-NSGAII to our problem and propose L-NSGAIII by integrating the notion of Lorenz dominance. Our methods are tested by 1350 randomly generated instances, considering problems with 30-150 jobs and different configurations of resources and due dates. Hypervolume and C-metric are considered to evaluate the results. The Lorenz dominance leads the population more toward the ideal point. As experiments show, it allows improving the original NSGA approach.

关键词： Multi-objective scheduling problem non-dominated sorting genetic algorithm resource constraint Lorenz dominance

来源：评论

学校读者我要写书评

暂无评论

Optimizing heat transfer in phase change thermal energy storage systems: A bionic method using alveolar vessel fins and nanofluids

引用

APPLIED THERMAL ENGINEERING 2025年 266卷

作者： Ren, Fan Li, Qibin Wang, Penglai Chongqing Univ Sch Energy & Power Engn Key Lab Low grade Energy Utilizat Technol & Syst Minist Educ Chongqing 400044 Peoples R China Natl Univ Singapore Dept Mech Engn 9 Engn Dr 1 Singapore 117575 Singapore

This paper investigates the enhanced heat transfer performance of a phase change thermal energy storage system (TES) using alveolar vessel-inspired fins and nano-fluid. Compared with traditional rectangular fins, alveolar vascular fins have better heat dissipation ability. The study utilizes computational fluid dynamics (CFD) to simulate and optimize the heat storage process. The results demonstrate that the 5 % Cu nanoparticles and water mixed nanofluid exhibits 27.63 % improvement in heat storage density compared to pure water. Furthermore, the heat transfer performance of nanofluid follows the trend Cu > CuO > Al2O3 > TiO2. The study also investigates the impact of heat transfer fluid (HTF) operating conditions, finding that an initial velocity of 0.25 m/s results in a 17 K increase in the average phase change material (PCM) temperature compared to 0.05 m/s. Finally, multi-objective optimization is conducted using response surface method and non-dominated sorting genetic algorithm II to determine the optimal parameters, heat storage capacity, PCM average temperature and kinetic energy values of 10.33 kJ, 492.19 K, and 2.25 mJ, respectively, corresponding to initial velocity 0.15 m/s of HTF, initial temperature 373.00 K of HTF, and volume fraction 4.41 % of nanoparticles in HTF. This simulation and multi-objective optimization method highlights the bionic inspiration design, and at the same time has certain reference significance for the multi-objective competitive design of nano-fluids in TES.

关键词： Alveolar vessel Nano-fluid Phase change thermal energy storage non-dominated sorting genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Leveraging BIM and time-cost-safety trade-off analysis for optimized decisions in construction projects

引用

ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT 2025年

作者： Shams, Alia Marzouk, Mohamed Cairo Univ Giza Egypt Badr Univ Cairo Badr Egypt

PurposeConstruction projects are frequently plagued by fatal accidents, emphasizing the necessity for proactive safety measures. Therefore, it is important to evaluate safety leading indicators to prevent construction project accidents proactively. This study aims to evaluate safety-leading indicators in construction projects and then conducts a time-cost-safety trade-off to enhance the performance of construction ***/methodology/approachThis research introduces a comprehensive framework designed to enhance construction project safety through safety visualization to illustrate safety risk scores throughout the project implementation. Safety is evaluated through two-stage structured interviews and analytical hierarchy process. Then, an optimization process takes place using a nondominated sorting genetic algorithm to get the Pareto front solutions in terms of time, cost and safety. Multi-criteria decision-making model is then applied to get a feasible solution which is fed to a safety visualization model that employs a 3D heat map to visualize safety on project elements over *** proposed framework is capable to evaluate safety leading indicators, optimize the time-cost-safety trade-off and visualize the selected feasible solution on a 3D-colored heat map. A case study of a residential building located in Cairo, Egypt has been applied to demonstrate the practicality of the ***/valueThis research focuses on proactive safety measures by assessing leading indicators rather than reactive measures like incident reports. Integrating BIM with decision-making techniques allows stakeholders to see how the safety risk levels change to assess and respond to safety risks proactively.

关键词： Construction safety assessment Multi-objective optimization non-dominated sorting genetic algorithm Multi-criteria decision-making Analytical hierarchy process BIM-based safety management 3D heat map

来源：评论

学校读者我要写书评

暂无评论

Multi-objective optimization research on nonlinear energy sink system of finite-length beam on elastic medium

引用

nonLINEAR DYNAMICS 2025年第2期113卷 1007-1024页

作者： Ma, Jianjun Liu, Zongtong Wang, Chaosheng Guo, Ying Liu, Chenlu Han, Yanwei Wang, Lianhua Henan Univ Sci & Technol Sch Civil Engn & Architecture Luoyang 471023 Henan Peoples R China Engn Technol Res Ctr Safety & Protect Bldg Henan Luoyang 471023 Henan Peoples R China Hunan Univ Sch Civil Engn Changsha 410082 Hunan Peoples R China

Based on the nonlinear dynamic model of the elastic medium-beam coupling system under a semi-sinusoidal pulse, this paper analyzes the influence of variations in nonlinear stiffness, damping coefficient, and mass ratio on the energy dissipation capacity and vibration suppression effect of the beam system. Since the frequency domain response function of nonlinear system often lacks an exact analytical expression, a second-order polynomial expression between the objective function and the various system parameters is established using the response surface method. Furthermore, with the aim of improving the vibration suppression effect and energy dissipation capacity of the nonlinear energy sink, a multi-objective optimization design of the system parameters is conducted using the non-dominated sorting genetic algorithm. By combining the non-dominated sorting genetic algorithm with the response surface method, the Pareto front with the objectives of maximum amplitude reduction percentage and maximum energy dissipation ratio are determined, obtaining a more accurate set of parameter solutions, which enables the nonlinear energy sinks to have better vibration suppression effect and energy dissipation capacity.

关键词： Energy dissipation capacity Vibration suppression effect Response surface method non-dominated sorting genetic algorithm Multi-objective optimization

来源：评论

学校读者我要写书评

暂无评论

Multi-objective optimization and inverse design of complementary field-effect transistor using combined approach of machine learning and non-dominated sorting genetic algorithms for next-generation semiconductor devices

引用

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年第PartA期137卷

作者： Kim, Sangpill Min, Seong-Ji Jung, Seung-Geun Yu, Hyun-Yong Korea Univ Dept Semicond Syst Engn Seoul 02841 South Korea Korea Univ Dept Elect Engn Seoul 02841 South Korea

Complementary field-effect transistors (CFETs), which are structures in which different types of transistors are vertically stacked with a shared control gate, are being focused on for continuing to satisfy Moore's law by overcoming the limitations in pitch scaling. The structures of semiconductor devices become more complex as technology node shrinks, and interrelated multivariate parameters increase. In addition, predicting problems and proposing solutions by identifying complex patterns within extensive data collected for emerging semiconductor designs pose significant computational challenges and are inherently difficult. As a breakthrough in design technology co-optimization for advanced devices, this study developed a novel optimization framework integrating technology computer-aided design simulations, machine learning, and non-dominated sorting genetic algorithms. The developed framework provides unbiased optimal solutions, even in a high-dimensional objective space, while considering the tradeoff relationships between multiple variables. In addition, it enables inverse design to identify the design parameters of devices that satisfy specific electrical performance criteria using only a forward model, while achieving an error rate of less than 2%. Using this framework, we analyzed the operational mechanism of CFETs by comparing the inverse designs of various devices. This novel approach is particularly important when the design space is complex and extensive and is well suited for developing devices that emerge with technological advancements in the semiconductor industry.

关键词： Complementary field-effect transistor Machine learning Multi-objective optimization non-dominated sorting genetic algorithm Inverse design

来源：评论

学校读者我要写书评

暂无评论

Multi-objective optimization on combined heat pump and mechanical vapor recompression system for waste heat recovery of offshore wind power converter

引用

DESALINATION 2025年 601卷

作者： Hu, Xiaowei Shi, Chenyang Dong, Shengming Fu, Xingyu Ma, Tianya Chen, Qijing Tianjin Univ Commerce Sch Mech Engn Tianjin 300134 Peoples R China

Offshore wind power converter station generates a significant amount of low-temperature waste heat, requiring tremendous freshwater for discharge. Conventional waste heat utilization solutions are no longer effective because their products are unable to be reused in situ. Therefore, two types of seawater desalination systems combining heat pump and mechanical vapor recompression were proposed and investigated by multi-objective optimization and sensitivity analysis. From a view of thermodynamics and economics, the total heat transfer area and total power consumption were adopted as objective functions. An improved non-dominated sorting genetic algorithm was adopted to determine the key parameters, including the condensation temperature of the heat pump, the temperature of seawater after the electronic expansion valve, and the condensation temperature of water vapor in the seawater and water vapor heat exchanger. The Pareto front and approximate ideal solution sorting methods determined the optimal operational states of the two systems as [70.5, 20, 28.57] and [61.42, 40, 73.48], respectively. From the sensitivity analysis, the condensation temperature of the condenser is the most critical parameter. Moreover, HP-MVR-1 and HP-MVR-2 need 139.75 kW and 158.17 kW electric power if freshwater is fully utilized in situ. It may be an effective solution for waste heat in offshore wind power converters.

关键词： Mechanical vapor recompression Heat pump Seawater desalination Multi-objective optimization non-dominated sorting genetic algorithm Offshore power wind converter

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：