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Conventional clustering algorithms use a single objective function optimization criterion for classification which may not provide satisfactory results to determine the underlying clusters in many datasets. In such scenario multi-objective algorithms are preferred which improve the clustering performance due to additional knowledge of data properties in the form of objective functions. In this paper...
Hybrid evolutionary algorithms are created by suitably combining the good features of two parent evolutionary algorithms, normally provide better solutions than the individual ones. In this paper we have formulated the partitional clustering as an optimization problem and solved it by a newly developed hybrid evolutionary algorithm Immunized PSO. Simulation studies on four benchmark UCI datasets demonstrate...
Digital ICs for electronic systems are fast realized on Field programmable gate array (FPGA). The reconfigurability of FPGA has made this mode of digital circuit synthesis more popular among the system designers. But unlike other ICs it provides a restricted hardware structure for circuit implementation and hence the computer aided design (CAD) software is also constrained. The placement being a very...
Field programmable gate array (FPGA) is a widely used programmable integrated circuit (IC) for fast realization of digital circuits in all electronic systems. Its reconfigurability has made this mode of digital circuit synthesis more popular among the system designers. But unlike other ICs it provides a restricted hardware structure for circuit implementation and hence the computer aided design (CAD)...
The problem of portfolio optimization is a standard problem in financial world and has received a lot of attention. Selecting an optimal weighting of assets is a critical issue for which the decision maker takes several aspects into consideration. In this paper we consider a multi-objective problem in which the percentage of each available asset is selected such a way that the total profit of the...
This identification of nonlinear MIMO plants finds extensive applications in stability analysis, controller design, modeling of intelligent instrumentation, analysis of power systems, modeling of multipath communication channels etc. For identification of such complex nonlinear plants, the recent trend of research is to employ nonlinear structures and to train their parameters by adaptive optimization...
Layout is an important issue in designing sensor networks. This paper proposes a new approach for energy efficient layout of wireless sensor network. The sensors communicate with each other to transmit their data to a high energy communication node which acts as an interface between data processing unit and sensors. Optimization of sensor locations is essential to provide communication for a longer...
In resent years, research has taken an interest in design of approximation algorithms due to the requirement of these algorithms for solving many problems of science and engineering like system modeling, identification of plants, controller design, fault detection, computer security, prediction of data sets etc. The area of Artificial Immune System (AIS) is emerging as an active and attractive field...
Over the recent few years the area of artificial immune system (AIS) has drawn attention of many researchers due to its broad applicability to different fields. In this paper the AIS technique has been suitably applied to develop a new model for efficient identification of nonlinear dynamic system. Simulation study of few benchmark identification problems is carried out to show superior performance...
The Hill cipher is a famous symmetric cryptosystem that have several advantages in data encryption. However, the Hill cipher algorithm cannot encrypt images that contain large areas of a single color. Thus, it does not hide all features of the image which reveals patterns in the plaintext. Moreover, it can be easily broken with a known plaintext attack revealing weak security. In this paper, novel...
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