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Tactical optimization of the oil palm agribusiness supply chain

APPLIED MATHEMATICAL MODELLING 2015年第20期39卷 6375-6395页

作者： Guillermo Garcia-Caceres, Rafael Ernesto Martinez-Avella, Mario Palacios-Gomez, Fernando Univ Agustiniana UNIAGUSTINIANA Vicepresidency Res UNIAGUSTINIANA Bogota Colombia Univ la Sabana Bogota Colombia Univ Los Andes Bogota Colombia

A dynamic mathematical programming model of the oil palm harvest and extraction supply chain is presented. The model in question has nonlinear and mixed integer features both in its objective function and constraints. The nonlinear nature of the problem is treated in the solving procedure by adequately redefining some original variables, creating and penalizing some others, generating valid inequalities and modifying certain constraints. As a result, an equivalent MIP model is obtained and validated by a computational simulation experiment. (C) 2015 Elsevier Inc. All rights reserved.

关键词： Mathematical programming applications Integer programming non-linear programming Supply chain Oil palm

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An SLA and power-saving scheduling consolidation strategy for shared and heterogeneous clouds

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JOURNAL OF SUPERCOMPUTING 2015年第5期71卷 1817-1832页

作者： Vilaplana, Jordi Mateo, Jordi Teixido, Ivan Solsona, Francesc Gine, Francesc Roig, Concepcio Univ Lleida Dept Comp Sci Lleida 25001 Spain Univ Lleida INSPIRES Lleida 25001 Spain

This paper presents a power-aware scheduling policy algorithm of Virtual Machines into nodes called Green Cloud (GreenC) for Heterogeneous cloud systems. GreenC takes into account optimal assignments according to physical and virtual machine heterogeneity, the current host workload and communication between the different virtual machines. An initial test case has been performed by modelling the policies to be executed by a solver that demonstrates the applicability of our proposal for saving energy and also guaranteeing the QoS. The proposed policy has been implemented using the OpenStack software and the obtained results showed that energy consumption can be significantly lowered by applying GreenC to allocate virtual machines to physical hosts.

关键词： Green cloud computing SLA Power-aware scheduling 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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OCEANS MTS/IEEE Monterey (Conference)

作者： Patitapaban Sahoo R. Sharma T. Asokan Design and Simulation laboratory Department of Ocean Engineering IIT Madras Chennai (TN) - 36 India Department of Engineering Designm IIT Madras Chennai (TN) - 36 India

ISBN: (纸本)9781509015276

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. 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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Study of incompatibility or near compatibility of bivariate discrete conditional probability distributions through divergence measures

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JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 2015年第1期85卷 117-130页

作者： Ghosh, Indranil Balakrishnan, N. Austin Peay State Univ Dept Math & Stat Clarksville TN 37044 USA McMaster Univ Dept Math & Stat Hamilton ON Canada King Abdulaziz Univ Dept Stat Jeddah 21413 Saudi Arabia

Consider a two-dimensional discrete random variable (X, Y) with possible values 1, 2, horizontal ellipsis , I for X and 1, 2, horizontal ellipsis , J for Y. For specifying the distribution of (X, Y), suppose both conditional distributions, of X given Y and of Y given X, are provided. Under this setting, we present here different ways of measuring discrepancy between incompatible conditional distributions in the finite discrete case. In the process, we also suggest different ways of defining the most nearly compatible distributions in incompatible cases. Many new divergence measures are discussed along with those that are already known for determining the most nearly compatible joint distribution P. Finally, a comparative study is carried out between all these divergence measures as some examples.

关键词： linear programming iterative algorithm non-linear programming divergence measures epsilon-compatibility near compatibility conditional specification incompatible conditionals

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Weighted Superposition Attraction (WSA): A swarm intelligence algorithm for optimization problems - Part 2: Constrained optimization

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APPLIED SOFT COMPUTING 2015年 37卷 396-415页

作者： Baykasoglu, Adil Akpinar, Sener Dokuz Eylul Univ Fac Engn Dept Ind Engn Izmir Turkey

This paper is the second one of the two papers entitled "Weighted Superposition Attraction (WSA) Algorithm", which is about the performance evaluation of the WSA algorithm in solving the constrained global optimization problems. For this purpose, the well-known mechanical design optimization problems, design of a tension/compression coil spring, design of a pressure vessel, design of a welded beam and design of a speed reducer, are selected as test problems. Since all these problems were formulated as constrained global optimization problems, WSA algorithm requires a constraint handling method for tackling them. For this purpose we have selected 6 formerly developed constraint handling methods for adapting into WSA algorithm and analyze the effect of the used constraint handling method on the performance of the WSA algorithm. In other words, we have the aim of producing concluding remarks over the performance and robustness of the WSA algorithm through a set of computational study in solving the constrained global optimization problems. Computational study indicates the robustness and the effectiveness of the WSA in terms of obtained results, reached level of convergence and the capability of coping with the problems of premature convergence, trapping in a local optima and stagnation. (C) 2015 Elsevier B.V. All rights reserved.

关键词： WSA algorithm non-linear programming Constrained global optimization Design optimization Constraint handling

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ON ENHANCING EFFICIENCY AND ACCURACY OF PARTICLE SWARM OPTIMIZATION ALGORITHMS

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INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2015年第4期11卷 1165-1189页

作者： Chiaradonna, Silvano Di Giandomenico, Felicita Murru, Nadir CNR ISTI Via G Moruzzi 1 I-56124 Pisa Italy

The particle swarm optimization (PSO) algorithm has been recently introduced in the non-linear programming, becoming widely studied and used in a variety of applications. Starting from its original formulation, many variants for improvement and specialization of the PSO have been already proposed, but without any definitive result, thus research in this area is nowadays still rather active. This paper goes in this direction, by proposing some modifications to the basic PSO algorithm, aiming at enhancements in aspects that impact the efficiency and accuracy of the optimization algorithm. In particular, variants of PSO based on fuzzy logics and Bayesian theory have been developed, which show better, or competitive, performances compared to both the basic PSO formulation and a few other optimization algorithms taken from the literature.

关键词： Fuzzy logics Kalman filter non-linear programming Particle swarm optimization

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Optimal Placement of Phasor Measurement Units with linear and non-linear Models (vol 43, pg 357, 2015)

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2015年第6期43卷 721-721页

作者： Nikolaos, Theodorakatos Korres, George Manousakis, Nikolaos ECE Department National Technical University of Athens Athens Greece

—This article presents a non-linear programming-based model for the optimal placement of phasor measurement units. The optimal phasor measurement units placement is formulated to minimize the number of phasor measurement units required for full system observability and to maximize the measurement redundancy at all buses in a power system. A sequential quadratic programming algorithm is used for the solution of the proposed model. The existence of power flow and injection measurements, the limited phasor measurement units channel capacity, the lack of communication facilities in substations, and the single phasor measurement units loss are also incorporated into the initial proposed formulation. The non-linear programming model is applied to IEEE 14- and 118-bus test systems in MATLAB. The accuracy and the effectiveness of the proposed method is verified by comparing the simulation results to those obtained by a binary integer programming model also implemented in MATLAB. The comparative study shows that the proposed non-linear programming model yields the same number of phasor measurement units as the binary integer programming model. A remarkable advantage of the non-linear programming against binary integer linear programming is its capability to give more than one optimal solution, each one having the same minimum number of phasor measurement units (same minimum objective value), but at different locations.

关键词： Phasor measurement unit observability optimal placement optimization binary integer linear programming mixed integer linear programming non-linear programming sequential quadratic programming

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PSO Based Optimal Reactive Power Dispatch for Voltage Profile Improvement

PSO Based Optimal Reactive Power Dispatch for Voltage Profil...

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IEEE Power, Communication and Information Technology Conference (PCITC)

作者： Reddy, P. Lokender Yesuratnam, G. Osmania Univ Dept Elect Engn Hyderabad Andhra Pradesh India

ISBN: (纸本)9781479974559

This Paper presents an approach to solve the single objective optimal power flow problem considering the critical objective function of minimization of sum of squares of voltage deviations from desired voltages at all load buses while satisfying a set of constraints associated with the control variables such as generator excitations, tap positions of on-load tap changing transformers and switched var compensators and also dependent variable reactive power generation of all generators. This problem has been solved by using the Particle Swarm Optimization (PSO) method and the results obtained from this proposed method have been compared with the results obtained by the conventional non-linear programming interior point method(NLP). To test the effectiveness of the proposed method, the results are obtained for a practical 24 bus EHV southern region equivalent Indian power system network. Analysis of results including effect on power loss, voltage stability indices as well as sum squared voltage deviations are done and superiority of the proposed method in comparison to NLP method is demonstrated.

关键词： Optimal Reactive Power Dispatch OLTC Shunt Capacitors Voltage deviations non-linear programming Particle Swarm Optimization

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Maximizing the Lifetime of Wireless Sensor Networks with the Base Station Location

Maximizing the Lifetime of Wireless Sensor Networks with the...

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1st International Scientific Conference on Nature of Computation and Communication (ICTCC)

作者： Nguyen Thanh Tung Dinh Ha Ly Huynh Thi Thanh Binh Vietnam Natl Univ Int Sch Hanoi Vietnam Hanoi Univ Sci & Technol Hanoi Vietnam

ISBN: (纸本)9783319153926;9783319153919

Nowadays, wireless sensor networks (WSNs) have been increasingly applied in many different areas and fields. However, one major defect of WSNs is limited energy resources, which affects the network lifetime strongly. A wireless sensor network includes a sensor node set and a base station. The initial energy of each sensor node will be depleted gradually during data transmission to the base station either directly or through other sensor nodes, depending on the distance between the sending node and the receiving node. This paper considers specifying a location for the base station such that it can minimize the consumed energy of each sensor node in transmitting data to that base station, in other words, maximizing the network lifetime. We propose a nonlinear programming model for this optimal problem. Four methods, respectively named as the centroid, the smallest total distances, the smallest total squared distances and greedy method, for finding the base station location are also presented, experimented and compared to each other over 30 data sets that are created randomly. The experimental results show that a relevant location for the base station is essential.

关键词： Base Station Location Wireless Sensor Network Routing non-linear programming

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A Novel Multiple Attribute Group Decision Making Methodology Based on Intuitionistic Fuzzy TOPSIS

A Novel Multiple Attribute Group Decision Making Methodology...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Ervural, Beyzanur Cayir Oner, S. Ceren Coban, Veysel Kahraman, Cengiz Istanbul Tech Univ Dept Ind Engn TR-34357 Istanbul Turkey

ISBN: (纸本)9781467374286

Intuitionistic Fuzzy TOPSIS (IFT) is an effective decision making technique for fuzziness nature of linguistic assessments. This paper proposes a novel methodology for Multiple Attribute Group Decision Making (MAGDM) problems in intuitionistic fuzzy environment. The proposed methodology is based on utilizing the hesitancy degree to determine decision makers' weights distinctively and, a non-linear programming (NLP) model additionally is formed for assigning weights to the related criteria in fuzzy environment. The developed approach is precise and practical for solving MCDM problems. Finally, to show the applicability of the proposed method, an illustrative example is used at the end of this paper.

关键词： Multiple attribute group decision making intuitionistic fuzzy sets TOPSIS hesitancy non-linear programming

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