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3rd International Conference on Mathematics and Computing, ICMC 2017

作者： Khan, Indadul Maiti, Manas Kumar Maiti, Manoranjan Department of Computer Science Chandrakon Vidyasagar Mahavidyalaya Paschim-Medinipur West Bengal721201 India Department of Mathematics Mahishadal Raj College Mahishadal Purba-MedinipurWest Bengal721628 India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Paschim-Medinipur West Bengal India

ISBN: (纸本)9789811046414

In this paper combining the features of swap sequence and swap operation based Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and K-Opt operation a hybrid algorithm is proposed to solve well known Traveling Salesman Problem (TSP). Interchange of two cities of a path of a TSP is known as swap operation and a sequence of such operations is called swap sequence. Using swap operation and swap sequence PSO operations are redefined to solve TSP. Here ACO is used a small number of iterations to generate initial swarm of PSO. Then PSO operations are made on this swarm a sufficient number of times to find optimal path. During PSO iterations if a particle does not change its position for a predefined number of iterations then K-Opt operation is made on it a finite number of times to improve its position. The algorithm is tested with bench mark test problems from TSPLIB and it is observed that algorithm is more efficient with respect to accuracy as well as execution time to solve standard TSPs (Symmetric as well as Asymmetric) compared to existing algorithms. Details of the proposed algorithm along with swap operation, swap sequence and K-opt operation for the algorithm are elaborately discussed for the readers. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Ant colony optimization

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Preface

Communications in Computer and Information Science

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Communications in computer and Information science 2019年 1007卷 V-VIII页

作者： Ermolayev, Vadim Suárez-Figueroa, Mari Carmen Yakovyna, Vitaliy Mayr, Heinrich C. Nikitchenko, Mykola Spivakovsky, Aleksander Zaporizhzhya National University Zaporizhzhia Ukraine Universidad Politecnica de Madrid Boadilla del MonteMadrid Spain Lviv Polytechnic National University Lviv Ukraine Faculty of Mathematics and Computer Science University of Warmia and Mazury in Olsztyn Olsztyn Poland Institute of Applied Informatics Alpen-Adria-Universität Klagenfurt Klagenfurt Austria Department of Theory and Technology of Programming Taras Shevchenko National University of Kyiv Kyiv Ukraine Kherson State University Kherson Ukraine

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Dual-image based reversible data hiding scheme using pixel value difference expansion

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International Journal of Network Security 2016年第4期18卷 633-643页

作者： Jana, Biswapati Giri, Debasis Mondal, Shyamal Kumar Department of Computer Science Vidyasagar University Midnapore721102 India Department of Computer Science and Engineering Haldia Institute of Technol India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University India

In this paper, we propose a dual-image based reversible data hiding scheme. Here, we divide a secret message into sub-stream of size n bits, where n-1 bits are embedded using Pixel Value Differencing (PVD) and 1 bit is embedded using Difference Expansion (DE). We consider two consecutive pixels from cover image, calculate the difference between them andthen embed n-1 bits secret message by modifying the pixel pair. Again, we consider that modified pixel pair to embed 1 bit secret message using embedding function. After that, we distribute these two stego pixel pairs among dual image depending on a shared secret key bit stream. At the receiver end, we extract the secret message successfully and recover original cover image from dual stego image without any distortion. Finally, we compare our scheme with other state-of-the-art methods and obtain reasonably better performance in terms of data embedding capacity.

关键词： Pixels

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Fuzzy vs neural network models for environmental decision support system implementation aiming to standardise the multiparametric decision in a Drinking Water Plant with Electrodialysis Reversal 8

Fuzzy vs neural network models for environmental decision su...

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8th International Congress on Environmental Modelling and Software - Environmental Modelling and Software for Supporting a Sustainable Future, iEMSs 2016

作者： Dalmau, Montse Monclús, Hèctor Espasa, Joan Atanasova, Natasa Poch, Manel Emiliano, Pere Capdevila, Oriol González, Santiago Valero, Fernando Institute of the Environment University of Girona Girona CataloniaE-17003 Spain Logic and Programming Research Group Department of Computer Science Applied Mathematics and Statistics University of Girona Girona CataloniaE-17003 Spain ATLL-Concessionària de la Generalitat de Catalunya Sant Martí de l'Erm 30 Sant Joan Despí Barcelona CataloniaE08970 Spain

ISBN: (纸本)9788890357459

The development of an environmental decision support system (EDSS) by means of two different aims to support the operators' decisions in the drinking water treatment plant (DWTP), equipped with the biggest electrodialysis reversal (EDR) in the world. A fuzzy artificial neural network (ANN) modelling and adaptive network-based fuzzy inference system (ANFIS) have been compared for optimizing the decision: how to manage water blending ratios from EDR and conventional treatment of the drinking water plant, evaluating Llobregat River characteristics (inlet DWTP), current operating conditions of DWTP, weather conditions and distribution requirements on-line. This tool has been tested among 4,5 months in the facility, showing better tendencies regarding the ANFIS model in comparison to the ANN model. A further application of the ANN and ANFIS process models, tested and validated, will be integrated into a process-controlled architecture of the EDSS. © 2016 Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016. All rights reserved.

关键词： Fuzzy inference

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Cheating prevention in Visual Cryptography using steganographic scheme

Cheating prevention in Visual Cryptography using steganograp...

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International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)

作者： Biswapati Jana Partha Chowdhuri auMadhumita Mallick auShyamal Kumar Mondal Department of Computer Science Vidyasagar University Paschim Medinipur India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Paschim Medinipur India

Visual Cryptography (VC) is a technique to encrypt a secret image into transparent shares such that stacking a sufficient number of shares reveals the secret image without any computation. Cheating is possible in the Visual Cryptographic Schemes (VCS) by dishonest or malicious participant called a cheater, may provide a Fake Share (FS) to cheat the other participants. To achieve cheating prevention in VC we have proposed a steganographic scheme to embed a secret message in each of the shares in random location during share generation phase called stego share. Before stacking receiver can extract hidden message from stego share for checking authentication of shares. In this method no verification share is required to prevent cheating in VC.

关键词： Silicon Cryptography

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Inverse problems in complex multi-modal regulatory networks based on uncertain clustered data

Inverse problems in complex multi-modal regulatory networks ...

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International Conference on Modeling, Optimization and Dynamics, ICMOD 2010 and 5th Bioeconomy Conference 2012

作者： Kropat, Erik Weber, Gerhard-Wilhelm Alparslan-Gök, Srma Zeynep Özmen, Aye Department of Informatics Institute of Applied Computer Science Universität der Bundeswehr München Werner-Heisenberg-Weg 39 Neubiberg Germany Departments of Financial Mathematics Scientific Computing and Actuarial Sciences Institute of Applied Mathematics Middle East Technical University Ankara Turkey Department of Mathematics Süleyman Demirel University Isparta Turkey Institute of Applied Mathematics Middle East Technical University Ankara Turkey

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A multiobjective multi-item inventory control problem in fuzzy-rough environment using soft computing techniques

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Advances in Decision sciences 2014年 2014卷

作者： Jana, Dipak Kumar Maity, K. Maiti, M. Roy, T.K. Department of Engineering Science Haldia Institute of Technology Haldia West Bengal 721657 India Department of Mathematics Mugberia Gangadhar Mahavidyalaya Mugberia Purba Medinipur West Bengal 721425 India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Medinipur West Bengal 721 102 India Department of Mathematics Bengal Engineering and Science University Shibpur Howrah West Bengal 711103 India

The optimal production and advertising policies for an inventory control system of multi-item multiobjective problem under a single management are formulated as an optimal control problem with resource constraints under inflation and discounting in fuzzy rough (Fu-Ro) environment. The objectives and constraints in Fu-Ro are made deterministic using fuzzy rough expected values method (EVM). Here, the production and advertisement rates are unknown and considered as control (decision) variables. The production, advertisement, and demand rates are functions of time t. Maximization of the total proceed from perfect and imperfect units and minimization of the total cost consisting of production, holding, and advertisement costs are formulated as optimal control problems and solved directly using multiobjective genetic algorithm (MOGA). In another method for solution, membership functions of the objectives are derived and the multi-objective problems are transformed to a single objective by the convex combination of the membership functions and then the problem is solved by generalized reduced gradient (GRG) method. Finally, numerical experiment and graphical representation are provided to illustrate the system. © 2014 Dipak Kumar Jana et al.

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Model-based dynamic optimization with openmodelica and CasADi

Model-based dynamic optimization with openmodelica and CasAD...

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7th IFAC Symposium on Advances in Automotive Control, AAC 2013

作者： Shitahun, Alachew Ruge, Vitalij Gebremedhin, Mahder Bachmann, Bernhard Eriksson, Lars Andersson, Joel Diehl, Moritz Fritzson, Peter PELAB-Programming Environment Lab Dept. Computer Science Linköping University SE-581 83Linköping Sweden Dept. Mathematics and Engineering University of Applied Sciences D-33609 Bielefeld Germany Vehicular Systems Dept. Electrical Engineering Linköping University SE-581 83 Linköping Sweden K.U. Leuven Belgium

ISBN: (纸本)9783902823434

This paper demonstrates model-based dynamic optimization through the coupling of two open source tools: OpenModelica, which is a Modelica-based modeling and simulation platform, and CasADi, a framework for numerical optimization. The coupling uses a standardized XML format for exchange of differential-algebraic equations (DAE) models. OpenModelica supports export of models written in Modelica and the optimization language extension using this XML format, while CasADi supports import of models represented in this format. This allows users to define optimal control problems (OCP) using Modelica and optimization language specification, and solve the underlying model formulation using a range of optimization methods, including direct collocation and direct multiple shooting. The proposed solution has been tested on several industrially relevant optimal control problems, including a dieselelectric power train.

关键词： Optimization

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Model-Based Dynamic Optimization with OpenModelica and CasADi

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IFAC Proceedings Volumes 2013年第21期46卷 446-451页

作者： Alachew Shitahun Vitalij Ruge Mahder Gebremedhin Bernhard Bachmann Lars Eriksson Joel Andersson Moritz Diehl Peter Fritzson PELAB-Programming Environment Lab Dept. Computer Science Linköping University SE-581 83 Linköping Sweden Dept. Mathematics and Engineering University of Applied Sciences D-33609 Bielefeld Germany Vehicular Systems Dept. Electrical Engineering Linköping University SE-581 83 Linköping Sweden Dept. of Electrical Engineering and Optimization in Engineering Center (OPTEC) K.U. Leuven Belgium

关键词： Modelica OpenModelica model-based optimization dynamic optimization CasADi

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Corrigendum to ‘A single period inventory model with imperfect production and stochastic demand under chance and imprecise constraints’ [Eur. J. Oper. Res. 188 (2008) 121–139]

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European Journal of Operational Research 2013年第3期230卷 703-703页

作者： D. Panda S. Kar K. Maity M. Maiti Department of Engineering Science Haldia Institute of Technology Haldia Purba Medinipur Haldia West Bengal 721 657 India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore 721 102 India

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