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2017 International Conference on Computing,Communications and Automation(I3CA 2017)

作者： Min Zhu Pingxiang University

Fuzzy multi-objective programming is an important optimization method to solve many complex practical problems. In this work, the applications of fuzzy multi-objective programming modeling for solving the practical problems in regional water resources optimal scheduling are studied. In order to strengthen the planning and management of water resources, the limited water resources are fully and effectively used scientifically. And because of the multi-objective and uncertainties of the regional water resources optimization scheduling problem, this paper adopts the fuzzy multi-objective programming method to deal with this complex practical problem. Based on the fuzzy multi-objective programming technique, the fuzzy multi-objective nonlinear programming model of regional water resources optimal dispatching is established. The multi-objective includes three goals: economic benefit, environmental benefit and social benefit. Then, the establishment and solving steps of the fuzzy multi-objective nonlinear programming model are introduced for the established model. Finally, the proposed scheme is evaluated and sorted. Finally, combined with the actual situation of a city to solve, verify the validity of the model.

关键词： Water Resources Optimal Allocation Multi-objective Strategy Model non-linear programming

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Energy management system for enhanced resiliency of microgrids during islanded operation

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ELECTRIC POWER SYSTEMS RESEARCH 2016年 137卷 133-141页

作者： Balasubramaniam, Karthikeyan Saraf, Parimal Hadidi, Ramtin Makram, Elham B. Clemson Univ Holcombe Dept Elect & Comp Engn Clemson SC USA Clemson Univ Restorat Inst Charleston SC USA

This paper proposes a method to enhance resiliency of microgrids through survivability. Survivability in this context is to minimize load shed for the duration the microgrid is in islanded mode following a disturbance event. During islanded operation, microgrid loads are prioritized as critical and non-critical loads. The key decision is to ascertain whether to provide energy to non-critical loads after supplying the critical loads or to store excess energy for future dispatches. This task is formulated as a non-linear programming problem. The objective is to minimize the amount of critical load shed while maximizing the amount of non-critical load served for a projected restoration time while adhering to relevant operational and physical constraints. For this extended time-scale problem, uncertainty of renewable generation and load forecast is quantified with probability distribution and confidence levels are used to establish likelihood of forecast error. Distributed generation such as solar and wind farm along with battery energy storage system are modeled. Demand response is implemented through adjustable loads and a fleet of plug in hybrid electric vehicles that can be operated in both grid to vehicle and vehicle to grid mode. Test cases are studied on a modified CIGRE microgrid benchmark test system and results are compared with a temporal decomposition scheme based energy management system. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Demand response Energy management system Load shedding Microgrid non-linear programming Resilience

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Optimal product pricing and lot sizing decisions for multiple products with nonlinear demands

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Journal of Management Analytics 2016年第1期3卷 43-58页

作者： Naeem Bajwa Belleh Fontem Charles R.Sox Department of Management College of BusinessUniversity of Arkansas at Little Rock2801 South University AvenueLittle RockArkansasUSA University of Mary Washington FredericksburgVirginiaUSA The University of Alabama TuscaloosaAlabamaUSA

Most manufacturing firms consider product pricing as a key strategic *** planning and scheduling,on the other hand,are mostly treated as a non-strategic *** businesses,therefore,follow some sequential decision-making process;where product prices are determined first and then operational plans are made to fulfill the resulting demand at the lowest possible *** this paper,we present a coordinated decision model approach for multiproduct pricing and lot sizing decisions for a manufacturer who has limited production *** the presented model is specific to demands that follow constant elasticity of the price,it can easily be extended to other convex demand *** show that a coordinated decision-making process where price and production plans are determined simultaneously may lead to substantially higher *** propose an efficient solution methodology for finding optimal prices and product quantities and use real-world data to demonstrate the applicability of this research.

关键词： pricing marketing and operations interface coordination non-linear programming

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A non-linear program to find an approximate location of a second warehouse: A case study

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Kasetsart Journal of Social Sciences 2016年第3期37卷 190-201页

作者： Monthatipkul, Chumpol Graduate School of Management and Innovation King Mongkut's University of Technology Thonburi Bangkok 10140 Thailand

A mathematical model was developed to estimate the location of a second warehouse for a case study in Bangkok. A non-linear program was developed based on the Load Distance Technique. The objective function was to minimize the sum of weighted straight-line distances from the first or second warehouse to either vendors or customers. The straight-line distance was determined using the principle of Pythagorean triples and was weighted by the shipment frequency and the shipment cost rate. The model was then solved using the Microsoft Excel Solver upgraded to the Premium Solver Platform. The starting solutions were randomly set within a specified range to obtain different local optimal solutions. The best one was finally selected to be the approximate location of the second warehouse. Sensitivity to customer demands was conducted and some useful recommendations are provided. © 2016 Kasetsart University

关键词： Euclidean norm facility location non-linear programming

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A Computing Based Design Model of Pneumatic Driven Variable Buoayncy System for Autonomous Underwater Vehicles

A Computing Based Design Model of Pneumatic Driven Variable ...

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MTS/IEEE Oceans Conference

作者： Sahoo, Patitapaban Sharma, R. Asokan, T. IIT Madras Dept Ocean Engn Design & Simulat Lab Madras 36 TN India IIT Madras Dept Ocean Engn Madras 36 TN India

ISBN: (纸本)9781509015375

In the era of modern computing based environment, the process of design is conceptualized, implemented and tested in a close loop integrating different modules of design, manufacturing and usages. In this regard, this paper presents a computing based design model for the design of a 'Pneumatic Driven Variable Buoyancy System (PDVBS)' for 'Autonomous Underwater Vehicles (AUVs)'. The presented design model is modular in architecture and integrates the design of PDVBS with design of AUV. The design approach is derived from the basic and advanced principles of mechanics and the approach is defined in the 'Computer Aided Design (CAD)' model in terms of different modules with implementation in Matlab*(TM). Finally, we present a design example of a PDVBS for depth rating up to 4200 m with application focused on a large AUV of length 7 m to show the efficiency and applicability of our proposed design model.

关键词： Variable buoyancy system Pneumatic driven system Underwater vehicle Computing model System dynamics non-linear programming

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A Computer Simulation Model for Design of Variable Buoyancy System for Autonomous Underwater Vehicles/Gliders

A Computer Simulation Model for Design of Variable Buoyancy ...

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OCEANS Conference

作者： Tiwari, B. K. Sharma, R. Asokan, T. IIT Madras Dept Ocean Engn Design & Simulat Lab Madras 600036 Tamil Nadu India IIT Madras Dept Engn Design Madras 600036 Tamil Nadu India

ISBN: (纸本)9781467397247

The efficient control of buoyancy with low power is critically important in the design of new age 'Autonomous Underwater Vehicles/Gliders (AUVs/Gs)'. This paper presents a 'Computer Simulation Model (CSM)' for the primary design of 'Variable Buoyancy System (VBS)' for AUVs/AUGs to efficient control buoyancy and the simulation model is built in the environment of integration, modular architecture and specific range of applicability. The CSM for design of VBS is integrated in the overall design process of AUVs/AUGs. Finally, we present design example of the VBS for a AUVhaving two ballast tanks (each of a buoyancy capacity of +/- B = 10kg), maximum rate of change of buoyancy = 9 kg/minute;and our presented results show that the proposed CSM for the design of VBS for AUVs/AUGs simulates the design process efficiently and leads to an efficient and economic design with the desired and specific range of applications.

关键词： Variable buoyancy system Underwater vehicle Computing model System dynamics non-linear programming

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A Game-theoretic Algorithm for non-linear Single-Path Routing Problems

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Electronic Notes in Discrete Mathematics 2016年 52卷 77-84页

作者： Vallet, Josselin Brun, Olivier Prabhu, Balakrishna CNRS LAAS 7 avenue du colonel Roche Toulouse F-31400 France Univ. de Toulouse LAAS Toulouse F-31400 France

This paper is devoted to non-linear single path routing problems, which are known to be NP-hard even in the simplest cases. We propose a Best Response algorithm, based on Game Theory, providing single-path routings with modest relative errors with respect to optimal solutions, while being several orders of magnitude faster than existing techniques. © 2016 Elsevier B.V.

关键词： Best response Game theory non-linear programming Single-path routing

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SUPER-RESOLUTION RECONSTRUCTION OF HYPERSPECTRAL IMAGES VIA AN IMPROVED MAP-BASED APPROACH 36

SUPER-RESOLUTION RECONSTRUCTION OF HYPERSPECTRAL IMAGES VIA ...

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36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Irmak, Hasan Akar, Gozde B. Yuksel, Seniha Esen Aytaylan, Hakan Middle East Tech Univ Dept Elect & Elect Engn Ankara Turkey Hacettepe Univ Dept Elect & Elect Engn Ankara Turkey Aselsan Inc Ankara Turkey

ISBN: (纸本)9781509033324

Super-resolution Reconstruction (SRR) is technique to increase the spatial resolution of images. It is especially useful for hyperspectral images (HSI), which have good spectral resolution but low spatial resolution. In this study, we propose an improvement to our previous work and present a novel MAP-MRF (maximum a posteriori-Markov random Fields) based approach for the SRR of HSI. The key point of our approach is to find the abundance maps of an HSI and perform SRR on the abundance maps using MRF based energy minimization, without needing any other additional source of information. In order to do so, first, PCA is used to determine the endmembers. Second, SISAL and fully constraint least squares (FCLS) are used to estimate the abundance maps. Third, in order to find the high resolution abundance maps, the ill-posed inverse SRR problem for abundances is regularized with a MAP-MRF based approach. The MAP-MRF formulation is restricted with the constraints which are specific to the abundances. Using the non-linear programming (NLP) techniques, the convex MAP formulation is minimized and High Resolution (HR) abundance maps are obtained. Then, these maps are used to construct the HR HSI. This improved SRR method is verified on real data sets, and quantitative performance comparison is achieved using PSNR, SSIM and PSNR metrics. Our results indicate that this improved method gives very close results to the original high resolution images, keeps the spectral consistency, and performs better than the compared algorithms.

关键词： Hyperspectral Super-resolution Reconstruction MAP-MRF non-linear programming

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Heuristic Solutions for the Lifetime Problem of Wireless Sensor Networks 2nd

Heuristic Solutions for the Lifetime Problem of Wireless Sen...

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2nd International Conference on Nature of Computation and Communication (ICTCC)

作者： Nguyen Thanh Tung Phan Cong Vinh Vietnam Natl Univ Int Sch Hanoi Vietnam Nguyen Tat Thanh Univ Ho Chi Minh City Vietnam

ISBN: (纸本)9783319469096;9783319469089

In [5, 7, 8] an analytical model of the lifetime problem of wireless sensor networks is developed. The solution given by the model is not practical for WSNs. Each time, there is a change in a sensor network, the solution needs to be recalculated. Also, it is difficult to build ILP solvers inside the small sensors. Furthermore, when the number of sensor nodes and CHs increases, it quickly becomes infeasible to calculate an optimum solution. As the analytical model is not able to be used to solve complicated networks, heuristic solutions are then examined that can compute the solutions for large sensor networks. Finally, the simulation results of the heuristic solutions are presented and discussed.

关键词： Base station location Wireless sensor network Routing non-linear programming

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A parametric programming solution to the F-policy queue with fuzzy parameters

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INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 2015年第4期46卷 590-598页

作者： Yang, Dong-Yuh Chang, Po-Kai Natl Taipei Coll Business Inst Informat & Decis Sci Taipei Taiwan

This paper investigates the F-policy queue using fuzzy parameters, in which the arrival rate, service rate, and start-up rate are all fuzzy numbers. The F-policy deals with the control of arrivals in a queueing system, in which the server requires a start-up time before allowing customers to enter. A crisp F-policy queueing system generalised to a fuzzy environment would be widely applicable;therefore, we apply the alpha-cuts approach and Zadeh's extension principle to transform fuzzy F-policy queues into a family of crisp F-policy queues. This study presents a mathematical programming approach applicable to the construction of membership functions for the expected number of customers in the system. Furthermore, we propose an efficient solution procedure to compute the membership function of the expected number of customers in the system under different levels of alpha. Finally, we give an example of the proposed system as applied to a case in the automotive industry to demonstrate its practicality.

关键词： start-up non-linear programming queue F-policy fuzzy sets

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