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General Meeting of the IEEE-Power-and-Energy-Society

作者： Ren, Hui Xiang, Anwei Teng, Weijun Cen, Rongjia North China Elect Power Univ Dept Elect Engn Baoding 071003 Hebei Peoples R China Guizhou Power Grid Corp Duyun Power Supply Bur Chongqing 5558000 Guizhou Peoples R China

ISBN: (纸本)9781467327299

This paper presents a generalized formulation for the optimal operation of a microgrid. multiple-objective optimization is applied to the environmental/economic problem of the MG, considering the operating cost, fuel cost, depreciation cost as well as environmental cost. Weight coefficient N is proposed to coordinate the proportion of generating cost objective and environmental cost objective. The optimization is aimed at minimizing the total cost of the system while satisfying the customer demand and system security. A detail case, in which the microgrid is consisting of a cluster of wind turbines, micro turbines, photovoltaic arrays and fuel cells, is discussed. And the results demonstrate the efficiency of the proposed approach to satisfy the load and maximize the microgrid's interests.

关键词： multiple-objective optimization microgrid environmental/economic problem weight coefficient wind turbines micro turbines photovoltaic arrays and fuel cells

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Multi-objective optimization based on Pareto Optimum in Secondary Cooling and EMS Of Continuous Casting

Multi-objective Optimization based on Pareto Optimum in Seco...

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International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Yang, Jie Ji, Zhenping Liu, Shuai Jia, Qiong Shenyang Ligong Univ Inst Automat & Elect Engn Shenyang Peoples R China

ISBN: (纸本)9781509033645

The process of Continuous casting cooling is a nonlinear, strong coupling, multi-input multi-output (MIMO) system, in existing control system of continuous casting of secondary cooling control and the final electromagnetic stirring(F-EMS) control are two independent control system. The optimization of control parameter often use two independent model, without considering the coupling effect between them, led to the slab quality fluctuation with changes on process parameter or steel. In order to solve the parameter optimization problem of the secondary cooling and electromagnetic stirring, the particle swarm with Pareto frontier multi-objective coordinated optimization algorithm is employed, combined with the most concerned requirements in temperature field, liquid core, which includes the temperature of raising and dropping in each cooling zone, and the liquid core radius satisfied the best electromagnetic stirring condition as the objective functions. Adopt adaptive grid system to evaluate the diversity of population, and to improve the consistency of the optimal solution set, using multidimensional vector weighting to process weights parameters of candidate solution set to obtain the final Pareto optimal solutions, finally, applied the optimization algorithm to continuous casting process, and verify the effectiveness and feasibility.

关键词： Pareto Frontier multiple-objective optimization Adaptive Grid Particle Swarm optimization Continuous Casting

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On the performance of multiple-objective genetic local search on the 0/1 knapsack problem - A comparative experiment

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IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 2002年第4期6卷 402-412页

作者： Jaszkiewicz, A Poznan Univ Tech Inst Comp Sci PL-60965 Poznan Poland

multiple-objective metaheuristics, e.g., jective evolutionary algorithms, constitute one of the most fields of multiple-objective optimization. Since 1985, a number of different methods have been proposed. However, few comparative studies of the methods were performed on scale problems. In this paper, we continue two comparative iments on the multiple-objective 0/1 knapsack problem in the literature. We compare the performance of two jective genetic local search (MOGLS) algorithms to the best formers in the previous experiments using the same test The results of our experiment indicate that our MOGLS generates better approximations to the nondominated set in same number of functions evaluations than the other algorithms.

关键词： evolutionary algorithms hybrid algorithms knapsack problem metaheuristics multiple-objective optimization

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Novel strategy using crash tubes adaptor for damage levels manipulation and total weight reduction

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THIN-WALLED STRUCTURES 2017年第Feb.期111卷 176-188页

作者： Esa, Moustafa Xue, Pu Zahran, Mohamed Abdelwahab, Mostafa Khalil, Mohamed Northwestern Polytech Univ Sch Aeronaut Xian 710072 Peoples R China Mil Tech Coll Dept Civil Engn Cairo Egypt Mil Tech Coll Aircraft Mech Dept Cairo Egypt

Absorbing energy by crash tubes has been extensively employed in many applications to improve the crashworthiness of the structure. This paper proposes Piecemeal Energy Absorption (PEA) as a novel proposed strategy to perform crashworthiness in a gradual way. PEA is implemented by crash tubes adaptor, whilst this adaptor is composed of nested pieces. Based on geometrical dimensions of the nested tubes, PEA strategy generates lower damage under lower impact velocity and higher energy absorption under high impact velocity to improves the crashworthiness of the protected structure. The novel strategy is validated by numerical and experimental methods. Furthermore, PEA flexibility and capability are illustrated by implementing the strategy in two popular applications (subway buffer and UAV landing gear). Due to the generality and applicability of the proposed PEA strategy, it is recommended to replace existing vehicles absorbers in order to manipulate the damage levels, along with considering PEA roles in new crashworthy designs leads to redistribute and reduce the whole internal protected structure masses.

关键词： Crushing Crash tube multiple-objective optimization Axial impact Energy absorption Gradual landing gear Railway buffer Strategy

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multiple-objective risk-sensitive control and its small noise limit

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AUTOMATICA 2003年第3期39卷 533-541页

作者： Lim, AEB Zhou, XY Moore, JB Chinese Univ Hong Kong Dept Syst Engn & Engn Management Shatin Hong Kong Peoples R China Univ Calif Berkeley Dept Ind Engn & Operat Res Berkeley CA 94720 USA Australian Natl Univ Dept Syst Engn Canberra ACT 0200 Australia

This paper is concerned with a (minimizing) multiple-objective risk-sensitive control problem. Asymptotic analysis leads to the introduction of a new class of two-player, zero-sum, deterministic differential games. The distinguishing feature of this class of games is that the cost functional is multiple-objective in nature, being composed of the risk-neutral integral costs associated with the original risk-sensitive problem. More precisely, the opposing player in such a game seeks to maximize the most 'vulnerable' member of a given set of cost functionals while the original controller seeks to minimize the worst 'damage' that the opponent can do over this set. it is then shown that the problem of finding an efficient risk-sensitive controller is equivalent, asymptotically, to solving this differential game. Surprisingly, this differential game is proved to be independent of the weights on the different objectives in the original multiple-objective risk-sensitive problem. As a by-product, our results generalize the existing results for the single-objective risk-sensitive control problem to a substantially larger class of nonlinear systems, including those with control-dependent diffusion terms. (C) 2002 Elsevier Science Ltd. All rights reserved.

关键词： risk-sensitive control multiple-objective optimization differential games Hamilton-Jacobi-Bellman equations upper/lower Isaacs equations viscosity solutions

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A new approach to approximate the bounded Pareto front

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MATHEMATICAL METHODS OF OPERATIONS RESEARCH 2015年第2期82卷 211-228页

作者： Khaledian, Kazhal Soleimani-damaneh, Majid Amirkabir Univ Technol Fac Math & Comp Sci Tehran 15914 Iran Univ Tehran Sch Math Stat & Comp Sci Coll Sci Tehran Iran Inst Res Fundamental Sci IPM Sch Math Tehran Iran

In this paper, a sequential approach, recently addressed by Mueller-Gritschneder et al. [SIAM J Optim 20(2):915-934, 2009] is studied. After a brief review, some weaknesses of the mentioned approach are pointed out. These weaknesses are due to a redundant assumption and the inability to generate the entire Pareto front. We present two improvements for the mentioned approach, firstly by eliminating the assumption of equality between the Pareto front and the weak Pareto front and secondly by presenting a new definition of the boundary of the Pareto front and establishing some theoretical results about it.

关键词： multiple-objective optimization Pareto front Boundary of the Pareto front Indifferent regions NBI method

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Congestion-Aware and Energy-Aware Virtual Network Embedding

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IEEE-ACM TRANSACTIONS ON NETWORKING 2020年第1期28卷 210-223页

作者： Pham, Minh Hoang, Doan B. Chaczko, Zenon Univ Technol Sydney Fac Engn & IT Ultimo NSW 2007 Australia

Network virtualization is an inherent component of future internet architectures. Network resources are virtualized from the underlying substrate and elastically provisioned and offered to customers on-demand. Optimal allocation of network resources in terms of utilization, quality of service, and energy consumption has been a challenge. Existing solutions consider congestion control in a single-objective virtual network embedding (VNE) problem. This paper defines a multiple-objective VNE problem called the congestion-aware, energy-aware VNE (CEVNE). The aim is to seek a solution that saves cost, saves energy and avoids network congestion simultaneously. CEVNE modelling techniques and solution approaches apply both the weighting method and the constraint method to search for pareto-optimal solutions that produce the best compromised solutions for all three objectives. Solving VNE problem is, however, NP-hard. A heuristic solution is proposed involving a two-stage coordinated CEVNE. The node-mapping algorithm searches for the sub-optimal solutions for three objectives. The link mapping process is an SDN-based heuristic algorithm that deploys a path service and a resource monitoring application on an SDN controller. The solution is realized using SDN, Segment Routing, and open network operating system platform (ONOS) technologies. The energy minimization is implemented with a registry that keeps track of active nodes and sets inactive nodes to sleep mode. The evaluation results showed that the multiple-objective CEVNE approach is feasible and achieves its goals of optimizing the resource allocation, improving the runtime, saving the energy consumption and controlling the network congestion.

关键词： Virtual network embedding network virtualization software-defined networks segment routing energy saving congestion control path services multiple-objective optimization

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The performance and locality tradeoff in bittorrent-like file sharing systems

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PEER-TO-PEER NETWORKING AND APPLICATIONS 2014年第4期7卷 469-484页

作者： Huang, Wei Wu, Chuan Li, Zongpeng Lau, Francis C. M. Univ Toronto Dept Comp Engn Toronto ON Canada Univ Hong Kong Dept Comp Sci Hong Kong Hong Kong Peoples R China Univ Hong Kong Hong Kong Hong Kong Peoples R China Univ Calgary Calgary AB T2N 1N4 Canada

In recent years, the surge of large-scale peer-to-peer (P2P) applications has brought huge amounts of P2P traffic, which has significantly changed the Internet traffic pattern and increased the traffic-relay cost at the Internet Service Providers (ISPs). To alleviate the stress on networks, methods of localized peer selection have been proposed that advocate neighbor selection within the same network (AS or ISP) to reduce the cross-ISP traffic. Nevertheless, localized peer selection may potentially lead to the downgrade of download speed at the peers, rendering a non-negligible tradeoff between the download performance and traffic localization in the P2P system. Aiming at effective peer selection strategies that achieve any desired Pareto optimum in face of the tradeoff, our contributions in this paper are three-fold: (1) We characterize the performance and locality tradeoff as a multi-objective -matching optimization problem. In particular, we first present a generic weighted -matching model that characterizes the tit-for-tat in BitTorrent-like peer selection. We then introduce multiple optimization objectives into the model, which effectively characterize the performance and locality tradeoff using simultaneous objectives to optimize. (2) We design fully distributed peer selection algorithms that can effectively approximate any desired Pareto optimum of the global multi-objective optimization problem, which represents a desired tradeoff point between performance and locality in the entire system. (3) Taking network dynamics into consideration, we further propose practical protocols that allow each peer to dynamically adjust its peer selection preference on download performance or traffic locality, in order to adapt to the current quality of peering connections, while guaranteeing that the desired tradeoff is still achieved over its entire download process. To support our models and protocols, we have conducted rigorous analysis, extensive simulations, and prototyp

关键词： Peer-to-peer File sharing Traffic locality multiple-objective optimization

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Failure Mode and Effect Analysis (FMEA) Approach Based on Avoidance of Aggregation Discrepancy

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IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT 2023年 71卷 7325页

作者： Zha, Quanbo Wang, Sen Zhang, Wei Zhang, Hengjie Chongqing Univ Sch Management Sci & Real Estate Chongqing 400044 Peoples R China Hohai Univ Business Sch Nanjing 211100 Peoples R China

As a powerful forward-looking risk management technique, FMEA has been widely used for reliability and security analysis in engineering management fields. In practice, the implementation of FMEA involves the participation of multiple members with distinct knowledge, experience, and cultural background, thus, FMEA is a typical multicriteria group decision-making problem. However, the existence of the aggregation discrepancy issue in FMEA problems with group decision-making leads to collective evaluation conflicts that bring about decision bias for further risk management. This article proposes an AADFMEA method based on multiple-objective optimization to promote the accuracy and reliability of collective assessment information in FMEA members, in which the 10-point qualitative scale is used for evaluation. Additionally, the AADFMEA method responds to the different individual cognitions to a specific evaluation value from multiple members by constraining the risk prioritization to derive more reasonable collective risk evaluation information. Finally, two case studies are presented to show that the AADFMEA method has a good application value, and the simulation analysis was conducted to verify the effectiveness of the proposed AADFMEA approach.

关键词： Frequency modulation Radio frequency Reliability engineering Decision making Aggregates optimization Linguistics Aggregation discrepancy failure mode and effect analysis group decision-making multiple-objective optimization reliability management

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Computation of Nash equilibria: Admissibility of parallel gradient descent

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JOURNAL OF optimization THEORY AND APPLICATIONS 1996年第1期90卷 45-61页

作者： Bozma, HI Associate Professor Department of Electrical and Electronic Engineering Boğazici University Bebek Istanbul Turkey

This paper offers some analytical results on the practical computation of Nash equilibria, which has been demonstrated to be relevant in real-world applications. In particular, the parallel gradient descent is analyzed from this perspective, and admissibility conditions are presented. First, the parallel gradient descent is defined in terms of update strategies and iteration times. It is shown that convergence is related to the contraction property. The analysis then derives sufficient conditions for the update strategies and the iteration times that ensure convergence. An illustrative example is presented in order to demonstrate practical implementation aspects and motivate the practical use of game theory in a wide spectrum of applications varying from economics to intelligent sensor systems.

关键词： multiple-objective optimization Nash games practical algorithms parallel decision making

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