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The Thirteenth International Conference on Information and Management Sciences

作者： Hua Ke Junjie Ma Guangdong Tian School of Economics and Management Tongji University School of Law Tongji University Transportation College Northeast Forestry University

multilevel programming is developed for modeling decentralized decision-making *** different management requirements and risk tolerances of different-level decision-makers,the decision-making criteria applied in different levels cannot be always the *** this paper,a hybrid multilevel programming model with uncertain random parameters based on expected value model(EVM)and dependentchance programming(DCP),named as EVM-DCP hybrid multilevel programming,is *** corresponding concepts of Nash equilibrium and Stackelberg-Nash equilibrium are *** some special case,an equivalent crisp mathematical programming is *** approach integrating uncertain random simulations,Nash equilibrium searching approach and genetic algorithm is designed.

关键词： multilevel programming Uncertainty theory Uncertain random programming Dependent-chance programming Expected value model

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THE POTENTIAL ROLE OF multilevel programming IN AGRICULTURAL-ECONOMICS

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AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS 1981年第3期63卷 521-531页

作者： CANDLER, W FORTUNYAMAT, J MCCARL, B UNIV CALIF RIVERSIDE DEPT IND MANAGEMENTRIVERSIDECA 92521 PURDUE UNIV W LAFAYETTEIN 47907

This paper discusses a new class of problem related to mathematical programming but with two separate decision makers in hierarchical relationship, each with his own objective function and control over distinct but interacting variables. The relationship of this problem to agricultural (energy and environmental) policy problems is developed, together with the relationship of this new problem structure to mathematical programming, game theory, control theory, and principal agent theory. Suggested computational approaches are reviewed, along with the solution to two illustrative examples of the use of the technique.

关键词： agricultural policy mathematical programming multilevel programming

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Uncertain multilevel programming Based on Hurwicz Criterion with Application to Resource Allocation

Journal of Uncertain Systems

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Journal of Uncertain Systems 2024年第4期17卷

作者： Zhang, Yunfan Yang, Xiangfeng School of Information Technology and Management University of International Business and Economics

A number of uncertain multilevel programming models have been proposed and applied to decentralized decision-making problems. It is assumed that the models of uncertain multilevel problems involve uncertain variables. In these models, the chance constraints are used as constraints, and the objective functions vary according to the requirements of decision-makers. The objective functions in this paper are based on the Hurwicz criterion, which combines optimistic value and pessimistic value to find a balance between optimism and pessimism. To deal with situations in which decision-makers have this type of risk appetite, the uncertain Hurwicz multilevel programming model is proposed based on uncertainty theory and the Hurwicz criterion. Finally, two numerical examples and a case study on resource allocation are given to demonstrate the potential uses of this study. © 2024 World Scientific Publishing Company.

关键词： chance constraint Hurwicz criterion multilevel programming uncertainty theory

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Neutrosophic programming approach to multilevel decision-making model for supplier selection problem in a fuzzy situation

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RAIRO-OPERATIONS RESEARCH 2023年第3期57卷 1307-1328页

作者： Adhami, Ahmad Yusuf Melethil, Anas Ahmad, Firoz Aligarh Muslim Univ Dept Stat & Operat Res Aligarh 202002 Uttar Pradesh India Indian Inst Sci IISc Dept Management Studies CV Raman Rd Bangalore 560012 India Indian Inst Technol IIT Dept Management Studies Roorkee 247667 Uttaranchal India

In supply chain management, the selection of suppliers is vital and plays a valuable role in the performance of organizations. A hierarchical structure, with different levels in the selection of suppliers, is employed, wherein sequential decisions are made from the highest to the lowest level. Decision variables, called controlling factors, are divided into several categories. In the decision-making process, often because of the lack of confidence or uncertainty, It becomes challenging for decision-makers to give explicit/crisp values to any parameter, resulting in uncertainty in the problem. In this paper, we address a multi-level supplier selection problem with fuzzy supply and demand. To avoid decision conflicts, superior or upper-level decision-makers give tolerances that could be used as a possible relaxation. Thus, the problem is employed with fuzzy constraints. Based on a neutrosophic decision set, the neutrosophic compromise programming approach (NCPA) is used as a solution technique with the idea of an indeterminacy degree as well as different objectives for membership and non-membership degrees. Membership functions (Linear-type) are used to develop satisfactory solutions by fuzzily describing objective functions and controlling factors. A numerical illustration is provided to demonstrate the validity and appropriateness of NCPA.

关键词： Supply chain Supplier selection multilevel programming Indeterminacy membership function Neutrosophic compromise programming approach

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A multi-parametric programming approach for multilevel hierarchical and decentralised optimisation problems

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COMPUTATIONAL MANAGEMENT SCIENCE 2009年第4期6卷 377-397页

作者： Faisca, Nuno P. Saraiva, Pedro M. Rustem, Berc Pistikopoulos, Efstratios N. Imperial Coll London Ctr Proc Syst Engn London SW7 2AZ England Univ Coimbra Dept Chem Engn Gepsi PSE Grp P-3030290 Coimbra Portugal

In this paper, we outline the foundations of a general global optimisation strategy for the solution of multilevel hierarchical and general decentralised multilevel problems, based on our recent developments on multi-parametric programming and control theory. The core idea is to recast each optimisation subproblem, present in the hierarchy, as a multi-parametric programming problem, with parameters being the optimisation variables belonging to the remaining subproblems. This then transforms the multilevel problem into single-level linear/convex optimisation problems. For decentralised systems, where more than one optimisation problem is present at each level of the hierarchy, Nash equilibrium is considered. A three person dynamic optimisation problem is presented to illustrate the mathematical developments.

关键词： Hierarchical decision making multilevel programming Multi-parametric programming Discrete-time systems Closed-loop optimal control

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Optimized programming algorithms for multilevel RRAM in hardware neural networks

Optimized programming algorithms for multilevel RRAM in hard...

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IEEE International Reliability Physics Symposium (IRPS)

作者： Milo, Valerio Anzalone, Francesco Zambelli, Cristian Perez, Eduardo Mahadevaiah, Mamathamba K. Ossorio, Oscar G. Olivo, Piero Wenger, Christian Ielmini, Daniele Politecn Milan Dipartimento Elettron Informaz & Bioingn DEIB Piazza Leonardo da Vinci 32 I-20133 Milan Italy Univ Ferrara Dipartimento Ingn Via Giuseppe Saragat 1 I-44122 Ferrara Italy IHP Leibniz Inst Innovat Mikroelekt Technol Pk 25 D-15236 Frankfurt Oder Germany Univ Valladolid Dept Elect & Elect Paseo Helen 15 Valladolid 47011 Spain BTU Cottbus Senftenberg D-01968 Cottbus Germany

ISBN: (纸本)9781728168937

A key requirement for RRAM in neural network accelerators with a large number of synaptic parameters is the multilevel programming. This is hindered by resistance imprecision due to cycle-to-cycle and device-to-device variations. Here, we compare two multilevel programming algorithms to minimize resistance variations in a 4-kbit array of HfO2 RRAM. We show that gate-based algorithms have the highest reliability. The optimized scheme is used to implement a neural network with 9-level weights, achieving 91.5% (vs. software 93.27%) in MNIST recognition.

关键词： Resistive-switching random access memory (RRAM) multilevel programming resistance variability weight quantization hardware neural networks in-memory computing

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A hybrid neural network approach to bilevel programming problems

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APPLIED MATHEMATICS LETTERS 2007年第8期20卷 880-884页

作者： Lan, Kuen-Ming Wen, Ue-Pyng Shih, Hsu-Shih Lee, E. Stanley Kansas State Univ Dept Ind & Mfg Syst Engn Manhattan KS 66506 USA Tamkang Univ Grad Inst Management Sci Tamsui 25137 Taiwan Natl Tsing Hua Univ Dept Ind Engn & Engn Management Hsinchu 300 Taiwan

A combined neural network and tabu search hybrid algorithm is proposed for solving the bilevel programming problem. To illustrate the approach, two numerical examples are solved and the results are compared with those... 详细信息

关键词： bilevel programming multilevel programming neural network tabu search

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A PWM analog memory programming circuit for floating-gate MOSFETs with 75-μs programming time and 11-bit updating resolution

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IEEE JOURNAL OF SOLID-STATE CIRCUITS 2001年第8期36卷 1286-1290页

作者： Kinoshita, S Morie, T Nagata, M Iwata, A Hiroshima Univ Grad Sch Adv Sci Matter Higashihiroshima 7398527 Japan

This paper describes a programming circuit for analog memory using pulsewidth modulation (PWM) signals and the circuit performance obtained from measurements using a floating-gate EEPROM device. This programming circuit attains both high programming speed and high precision. We fabricated the programming circuit using standard 0.6-mum CMOS technology and constructed an analog memory using the programming circuit and a floating-gate MOSFET. The measurement results indicate that the analog memory attains a programming time of 75 mus, an updating resolution of 11 bite and a memory setting precision of 6.5 bit. This programming circuit can be used for intelligent information processing hardware such as self-learning VLSI neural networks as well as multilevel flash memory.

关键词： analog memory EEPROM flash memory multilevel programming pulsewidth modulation

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Modeling supply chain operations as multi-level programming problems and their parametric programming based computation methodology

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KOREAN JOURNAL OF CHEMICAL ENGINEERING 2010年第6期27卷 1681-1688页

作者： Ryu, Jun-Hyung Dongguk Univ Dept Energy & Environm Syst Gyeongju 780814 South Korea

This paper proposes a modeling methodology for supply chain operations with a focus on the relationships of supply chain entities. Supply chain operation problems are mathematically formulated into a multilevel programming problem. A multiparametric programming-based computation methodology is proposed to compute the solution of the problems. Numerical examples are presented to illustrate the proposed modeling and computational methodology with some remarks.

关键词： Supply Chain Relationship Modeling Parallel Sequential multilevel programming Parametric programming

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NONLINEAR INTEGER BILEVEL programming

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 1994年第3期72卷 574-587页

作者： JAN, RH CHERN, MS NATL CHIAO TUNG UNIV DEPT COMP & INFORMAT SCIHSINCHU 30050TAIWAN NATL TSING HUA UNIV DEPT IND ENGNHSINCHU 30043TAIWAN

In many decentralized organizations, resource planning with sequential decision making can be formulated as a multi-level programming problem. In such cases, the decision variables are partitioned among the decision makers. Each of the decision makers optimizes his/her own objective function. This paper presents an algorithm using parametric analysis to solve a typical kind of nonlinear integer multilevel programming problems, called separable integer monotone bilevel programming (SIMBP), and then extends the algorithm for solving a parametric SIMBP problem. A numerical example with application of reliability optimization is given to illustrate the solution method.

关键词： multilevel programming NONLINEAR INTEGER programming PARAMETRIC programming

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