检索结果-内蒙古大学图书馆

SLA-WS: SLA-based workload scheduling technique in multi-cloud platform

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2022年第8期14卷 10001-10012页

作者： Nelli, Arundhati Jogdand, Rashmi KLS Gogte Inst Technol Dept Comp Sci & Engn Belagavi Karnataka India

Real-time workload execution resource provisioning with SLA prerequisite in multi-cloud platform is considered to a difficult job. Data intensive workload is composed direct acyclic graph (DAG);thus, there exist high dependency among different subtask with varying quality of service (QoS) prerequisite. The existing workload scheduling is designed using multi-objective parameter such as minimizing time and cost;however, reducing delay and energy overhead is not considered. This paper presents Service level agreement-based workload scheduling (SLA-WS) technique for execution of real-time workload on multi-cloud platform. The SLA-WS emphasizes multi-objective parameter such as processing efficiency with energy optimization and task offloading benefits using soft-computing based dragonfly algorithm (DA). The SLA-WS model reduces processing time and energy consumption for execution of different workload in comparison with existing WS-framework leveraging multi-cloud platform.

关键词： Cloud computing Heterogeneous computing environment multi-objective optimization problem Resource provisioning Work scheduling

来源：评论

学校读者我要写书评

暂无评论

A novel epsilon-dominance Harris Hawks optimizer for multi-objective optimization in engineering design problems

引用

NEURAL COMPUTING & APPLICATIONS 2022年第19期34卷 17007-17036页

作者： Allou, Lotfi Zouache, Djaafar Amroun, Kamal Got, Adel Univ Bejaia Fac Exact Sci Comp Sci Dept Bejaia Algeria Univ Mohamed El Bachir El Ibrahimi Comp Sci Dept Bordj Bou Arreridj Algeria Univ Sci & Technol Houari Boumediene LRIA Lab Algiers Algeria

In this article, A multi-Leaders Guided Harris Hawks optimizer using Epsilon-Dominance relation is developed for solving multi-objective optimization problems. For this reason, the standard HHO algorithm is equipped with a fixed-size external archive to ensure the elitism concept. On the other hand, both crowding distance computation and epsilon dominance relation are adopted when updating the archive in the hope of improving the diversity of solutions. Moreover, an efficient leader selection procedure is proposed to guarantee convergence towards less-crowded Pareto regions. Our algorithm's performance is validated on 18 test functions in all, 5 with two objectives and 13 with three objectives, and it is compared with four well-regarded algorithms, namely: multi-objective Evolutionary Algorithm Based on Decomposition (MOEA/D), multi-objective Grey Wolf Optimizer (MOGWO), multi-objective Particle Swarm optimization (MOPSO), and multi-objective Salp Swarm Algorithm (MSSA). Also, it is applied to solve four engineering real-world problems, namely: Four bar truss, Speed reducer, Disk brake design, and Welded beam design problems. Inverted Generational Distance (IGD) metric and Hypervolume (HV) metric were used to quantify the behaviors of multi-objective algorithms. The obtained results show the performance of the proposed algorithm in terms of convergence and diversity for the benchmark functions and the engineering real-world problems.

关键词： multi-objective optimization problem Harris hawks optimization Epsilon dominance Crowding distance computation External archive Engineering design problems

来源：评论

学校读者我要写书评

暂无评论

multi-objective False Data Injection Attacks of Cyber-Physical Power Systems

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2022年第9期69卷 3924-3928页

作者： Lu, Kang-Di Wu, Zheng-Guang Zhejiang Univ Inst Cyber Syst & Control Hangzhou 310027 Peoples R China Chengdu Univ Inst Adv Study Chengdu 610106 Peoples R China Zhejiang Normal Univ Coll Math & Comp Sci Jinhua 321004 Zhejiang Peoples R China

In cyber-physical power systems (CPPSs), false data injection attack (FDIA) has drawn much attention due to its stealthiness. It is of great importance to investigate the potential behaviors of attackers to improve the cyber-security of CPPSs. However, most FDIA models are often constructed separately on the effect of attackers or the impact of attacks. Accordingly, this brief proposes a multi-objective stealthy FDIA scheme in AC grid model. The attack model is described as a multi-objective optimization problem, where minimization of contaminated measurements and maximization of the attack impact are considered as two objectives while remaining stealthy. To deal with the established attack model, a non-dominated sorting genetic algorithm II (NSGAII) is introduced as the solver. To improve the efficiency of generating attack vector, a new representation mechanism is proposed to describe locations and values of injected states. Additionally, during the evolutionary process, we propose a mutation operation to balance the sparsity and impact of FDIA. Simulation results on the IEEE 14-bus, 30-bus, and 118-bus systems demonstrate the feasibility of the NSGAII-based FDIA model.

关键词： Biological system modeling Pollution measurement Computational modeling Sociology optimization Mathematical models Sorting Cyber-physical power systems cyber-security false data injection attacks multi-objective optimization problem genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Landscape Analysis of multi-objective Control of Fluidized Beds

Landscape Analysis of Multi-objective Control of Fluidized B...

引用

Genetic and Evolutionary Computation Conference (GECCO)

作者： Jamil, Iffat Mostaghim, Sanaz van Wachem, Berend Cheron, Victor Hausmann, Max Otto von Geuricke Univ Magdeburg Germany

ISBN: (纸本)9798400701207

Fluidized beds are widely used in various industrial applications that require efficient mixing, heat and mass transfer between gas and solid particles. This paper explores the relationship between input parameters of inlet gas velocity into the fluidized bed, by varying the amplitude and the frequency of the velocity, and the objective outputs, such as the total number of bubbles per unit time and the average bubble size in a fluidized bed, using CFD-DEM simulations. The goal of the paper is to define a multi-objective optimization problem and provide an insight into the landscape in the search space. Since the CFD-DEM simulation of a fluidized bed requires a significant computational effort, this landscape analysis is aimed to give an overview and a ground truth for further research in this area.

关键词： CFD-DEM simulation fluidizied bed multi-objective optimization problem

来源：评论

学校读者我要写书评

暂无评论

Goal Programming Approach for Energy Management of Smart Building

引用

IEEE ACCESS 2022年 10卷 25341-25348页

作者： Foroozandeh, Zahra Ramos, Sergio Soares, Joao Vale, Zita Polytech Inst Porto Sch Engn ISEP Res Grp Intelligent Engn & Comp Adv Innovat & Dev P-4200072 Porto Portugal

In this paper, a collective residential building is considered in which the following points are taken into consideration: (i) a flexibility value of Contract Power (CP) is considered for each consumer;(ii) it is assumed a single CP for the entire building;(iii) an energy resource manager entity is considered to manage the energy resources in the residential building, such as Electric Vehicles (EVs), Photovoltaic (PV) generation system, and the Battery Energy Storage System (BESS). Taking into consideration the previous assumptions, the major goal of this work is to minimize the electricity consumption costs of the residential building by using a multi-objective Mixed-Binary Linear Programming (MOMBLP) formulation. The objective function of the MOMBLP model minimizes the electricity cost consumption of each apartment. Then, a Goal Programming (GP) strategy is applied to find the most appropriate solutions for the proposed MOMBLP model. Finally, the performance of the suggested model is evaluated by comparing the obtained results from a Single-objective Mixed-Binary Linear Programming (SOMBLP) approach in which the whole building consumption cost is minimized. The results show that using the GP strategy a reduction of 7.5% in the total annual energy consumption is verified in comparison with SOMBLP. Moreover, the GP approach leads to fair benefit among building consumers, by finding a solution with less distance from the desired level.

关键词： Costs Buildings Linear programming Energy management Indexes Energy management systems Batteries Energy management goal-programming methodology multi-objective optimization problem renewable energy smart building

来源：评论

学校读者我要写书评

暂无评论

Joint Resource Allocation for Full-Duplex Ambient Backscatter Communication: A Difference Convex Algorithm

引用

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2022年第10期21卷 8022-8035页

作者： Madavani, Fatemeh Kaveh Soleimanpour-Moghadam, Mohadeseh Talebi, Siamak Chatzinotas, Symeon Ottersten, Bjorn Univ Luxembourg Ctr Secur Reliabil & Trust SnT L-1855 Esch Sur Alzette Luxembourg Higher Educ Complex Bam Dept Mech Engn Bam *** Iran Shahid Bahonar Univ Kerman Dept Elect Engn Kerman *** Iran

Nowadays, Ambient Backscatter Communication (AmBC) systems have emerged as a green communication technology to enable massive self-sustainable wireless networks by leveraging Radio Frequency (RF) Energy Harvesting (EH) capability. A Full-duplex Ambient Backscatter Communication (FAmBC) network with a Full-duplex Access Point (AP), a dedicated Legacy User (LU), and several Backscatter Devices (BDs) is considered in this study. The AP with two antennas transfers downlink Orthogonal Frequency Division multiplexing (OFDM) information and energy to the dedicated LU and several BDs, respectively, while receiving uplink backscattered information from BDs at the same time. One of the key aims in AmBC networks is to ensure fairness among BDs. To address this, we propose the multi-objective Lexicographical optimization problem (MLOP), which aims to maximize the minimum BD's throughput while enhancing overall BDs' throughput, subject to the AP's subcarrier power, BDs' reflection coefficients, and backscatter time allocation. Owe to the MLOP is non-convex, we propose Difference Convex Algorithm (DCA) using Exterior Penalty Function Method (EPFM)-an inventive non-convex optimization method- to reach the optimal solution. The most critical advantage of applying this proposed approach is finding the globally optimal solution. The effectiveness of the proposed method supported by theoretical analysis confirms its superiority compared to some of the investigated suboptimal algorithms with the same computational complexity.

关键词： Backscatter Throughput Wireless communication Resource management Receivers Radio frequency optimization Ambient backscatter communication wireless-driven IoT resource allocation multi-objective optimization problem non-convex problem difference convex programming

来源：评论

学校读者我要写书评

暂无评论

A multi-objective optimization Approach for Secure Communications Based on Collaborative Beamforming in UAV Networks

A Multi-objective Optimization Approach for Secure Communica...

引用

IEEE Wireless Communications and Networking Conference (WCNC)

作者： Guo, Xinrong Mei, Fang Sun, Geng Zheng, Tingting Jilin Univ Coll Software Changchun 130012 Peoples R China Jilin Univ Coll Comp Sci & Technol Changchun 130012 Peoples R China Jilin Univ Minist Educ Key Lab Symbol Computat & Knowledge Engn Changchun 130012 Peoples R China Univ Waterloo Coll Elect & Comp Engn Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9781665491228

With the rapid development of wireless communication, unmanned aerial vehicle (UAV) networks have received extensive attention and been applied in many fields, but some challenges exist in their applications, such as the issue of security when implementing communication. In this paper, a virtual antenna array (VAA) is formed in multiple UAV units using collaborative beamforming (CB) technology. Under the interference of multiple eavesdroppers, secure communication with the ground base station (BS) is achieved. To achieve better performance, we formulate a multi-objective optimization problem for UAV network security communication (SCMOP), and jointly optimize the positions and excitation current weights of UAVs to set the null values in the direction of known eavesdroppers, reduce the sidelobe levels (SLLs) and enhance the directivity of the main lobe (ML). Since the formulated SCMOP is an NP-hard problem, we propose an improved the third non-dominated sorting genetic algorithm (IMNSGA-III) with chaos operator and crossover and mutation operators to solve the problem in this paper. The simulation results show that the IMNSGA-III can solve the SCMOP well and obtain the best results compared with other benchmark algorithms.

关键词： UAV networks collaborative beamforming secure communication multi-objective optimization problem evolutionary algorithms

来源：评论

学校读者我要写书评

暂无评论

A novel multi-objective bi-level programming problem under intuitionistic fuzzy environment and its application in production planning problem

引用

COMPLEX & INTELLIGENT SYSTEMS 2022年第4期8卷 3263-3278页

作者： Singh, V. P. Sharma, Kirti Chakraborty, Debjani Ebrahimnejad, Ali Visvesvaraya Natl Inst Technol Nagpur Dept Math Nagpur 440010 Maharashtra India Indian Inst Technol Kharagpur Dept Math Kharagpur 721302 W Bengal India Islamic Azad Univ Dept Math Qaemshahr Branch Qaemshahr Iran

This paper presents an optimization method to solve a multi-objective model of a bi-level linear programming problem with intuitionistic fuzzy coefficients. The idea is based on TOPSIS (technique for order preference by similarity to ideal solution) method. TOPSIS method is a multiple criteria method that identifies a satisfactory solution from a given set of alternatives based on the minimization of distance from an ideal point and maximization of distance from the nadir point simultaneously. A new model of multi-objective bi-level programming problem in an intuitionistic fuzzy environment has been considered. The problem is first reduced to a conventional multi-objective bi-level linear programming problem using accuracy function. Then the modified TOPSIS method is proposed to solve the problem at both the leader and the follower level where various linear/non-linear membership functions are used to represent the flexibility in the approach of decision-makers (DMs). The problem is solved hierarchically, i.e., first the problem at the leader level is solved and then the feasible region is extended by relaxing the decision variables controlled by the leader. The feasible region is extended to obtain a satisfactory solution for the DMs at both levels. Finally, the application of the proposed approach in the production planning of a company has been presented. An illustrative numerical example is also given to explain the methodology defined in this paper.

关键词： multi-objective optimization problem Bi-level programming problem TOPSIS method Intuitionistic fuzzy number Fuzzy optimization

来源：评论

学校读者我要写书评

暂无评论

Tradeoff Analysis of Energy Efficiency and Spectral Efficiency for Downlink NOMA Systems 6

Tradeoff Analysis of Energy Efficiency and Spectral Efficien...

引用

6th International Conference on Information Communication and Signal Processing, ICICSP 2023

作者： Su, Binbin Xue, Jie Liu, Hongbo Liu, Yongcai Naval University of Engineering National Key Laboratory of Electromagnetic Energy Wuhan China

ISBN: (纸本)9798350339994

Non-orthogonal multiple access (NOMA) is regarded as a promising technique for the fifth generation communication due to both its outstanding spectral efficiency (SE) and energy efficiency (EE). In this letter, we investigate the joint optimization of EE and SE problem for a downlink single-input single-output (SISO) NOMA system under the condition of minimum user rate requirements and total power constraints, which leads to a multi-objective optimization problem (MOP). We firstly transformed it into a single-objective optimization problem (SOP) by applying the weighted sum method. To solve the SOP, it is then converted into a pseudo-concave problem and finally solved by Dinkelbach's method. Simulation results show that the proposed method can reach proper tradeoff between the optimal EE and SE. © 2023 IEEE.

关键词： Dinkelbach's method energy efficiency(EE) multi-objective optimization problem Non-orthogonal multiple access weighted sum method

来源：评论

学校读者我要写书评

暂无评论

An Improved Differential Evolution for Constrained multi-objective optimization problems 16

An Improved Differential Evolution for Constrained Multi-obj...

引用

16th International Conference on Computational Intelligence and Security (CIS)

作者： Song, Erping Li, Hecheng Wanma, Cuo Qinghai Normal Univ Sch Comp Sci & Technol Xining Peoples R China Qinghai Normal Univ Acad Plateau Sci & Sustainabil Sch Math & Stat Xining Peoples R China Qinghai Normal Univ Sch Math & Stat Xining Peoples R China

ISBN: (纸本)9781665404457

The constrained multi-objective optimization problems (CMOPs) is widely used in real-world applications and always hard to handle especially when the objective number becomes more or the constraints are too stringent. In this manuscript, an improved differential evolution method (IDEM) is proposed based on CMOEA/D as well as newly designed mutation operators. Firstly, one mutation operator is presented to improve infeasible points, in which any infeasible point is taken to divide other points into three groups by using the constraint violation information, and based on the division, a potential better point can be found and utilized to improve other infeasible points by the mutation operation. Then the other mutation operator is provided by designing an objective sorting scheme as well as an individual selection method. These two mutation operators are alternately and self-adaptively adopted in evolution process. Finally, the proposed algorithm is executed on some recent benchmark functions and compared with four state-of-the-art EMO algorithms. The experimental results show that IDEM can efficiently solve the CMOPs.

关键词： multi-objective optimization problem differential evolution constraint-handling method Pareto-optimal solutions

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：