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Efficient methods for detecting electricity fraud has been an active research area in recent years. This paper presents a hybrid approach towards non-technical loss (NTL) analysis for electric utilities using genetic algorithm (GA) and support vector machine (SVM). The main motivation of this study is to assist Tenaga Nasional Berhad (TNB) in Malaysia to reduce its NTLs in the distribution sector...
A hybrid genetic algorithm (HGA) is presented to solve the thermal unit commitment (UC). It effectively uses the binary-coded genetic algorithm incorporating a priority list ordering scheme to solve the unit commitment up/down problem and the lambda-iteration method to solve the power economic dispatch problem, This modification helps to explore the search space very effectively, It generates better...
Among the power-aware circuit synthesis techniques that have been proposed so far, power-gating has traditionally been the most effective way to lower power. In this approach, power reduction is achieved by shutting off the power supply to some portions of the logic block which are not active. So, we have to partition the design into two or more power islands. Suitable Finite State Machine partitioning...
Multiple-valued reversible logic is an emerging area in reversible and quantum logic circuit synthesis. Multiple-valued reversible logic circuits can potentially reduce the width of the reversible or quantum circuit which is a limitation in current quantum technology. In this paper we propose a method to synthesize the multiple-valued reversible sequential circuits. Implementations for ternary D and...
The characteristics of Mobile Ad hoc Networks (MANET) demands new set of network strategies in order to provide reliable group communication. Group communication is an essential requirement for MANET since nodes forming these temporary networks generally come together for common purposes and they need to collaborate. Multicast routing protocols plays a significant role in MANET to provide this communication...
In this paper, two different control methods on DC-DC Converter, are investigated. Lately, improvement the performance of the DC-DC converter is one of the goals of the engineers in the industries. In this paper, Pole Placement controller is used to optimize the DC-DC converter performance. Also other controller, by the way, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used with...
Biclustering in microarray data is used to discover a set of genes expressed similarly in a subset of conditions. Biclustering algorithms require to identify coherent and non-trivial biclusters, i.e., the biclusters should have low mean squared residue and high row variance. This article presents a genetic algorithm based biclustering technique that optimizes a combination of these objectives. A novel...
Broadly two solution approaches are used in solving the Transmission Expansion Planning (TEP) problem namely, Load curtailment minimization approach and Overload minimization approach. Overload minimization approach involves lesser computational efforts but has problem of non convergence of loadflow in presence of isolated nodes. In literature, isolated nodes are dealt with modeling system Z-bus with...
Nurse scheduling problem (NSP) represents a subclass of constraint satisfaction problems (CSP), involving a set of constraints. The problem is highly constrained and difficult to solve. The goal is to find high quality shift assignments to nurses satisfying constraints related to labor contract rules, requirements of nurses as well as the employers in health-care institutions. The constraints are...
Software testing is of huge importance to development of any software. The prime focus is to minimize the expenses on the testing. In software testing the major problem is generation of test data. Several metaheuristic approaches in this field have become very popular. The aim is to generate the optimum set of test data, which would still not compromise on exhaustive testing of software. Our objective...
Distributed generation (DG) sources are becoming more prominent in distribution systems due to increased demand for the electrical energy. The locations and capacities of DG sources will have an impact on system losses, voltage profile characteristics of distribution network. This paper presents a heuristic approach for selection of optimal location and determination of optimal capacity of DG sources...
Hardware/software partitioning is a critical phase in the codesign approach of embedded system design. Most of the partitioning algorithms proposed assume that an embedded system has distinct sub-modules. The issue of partitioning of resource constrained embedded systems consisting of multiple occurrences of a single functionality, needs to be addressed. In this paper, we propose a genetic algorithm...
Filterbank transmultiplexer (FB TMUX) system has been considered as a kind of multicarrier communication technology. When there are interferences, the FB TMUX system has better performance than orthogonal frequency division multiplexing (OFDM) system, as filters which are used in the FB TMUX have better frequency responses than those of the OFDM. The FB TMUX can be efficiently implemented by using...
Stabilizing power angle oscillation and torsional oscillation on the turbine-generator shaft using a linear feedback controller is investigated in this paper. In order to analysis the effect of this controller, a single machine connected through two transmission lines (HVAC and HVDC), to an infinite bus is used. To damp and control the oscillations in this system, after any change, a linear feedback...
Zone routing protocol (ZRP) is a most promising and widely accepted and well proved hybrid routing protocol in mobile ad-hoc networks ( MANETs) for its performance when compared with table-driven and on-demand protocols. In this paper, we propose a new routing protocol called genetic zone routing protocol (GZRP) which is the extension of ZRP by using genetic algorithm (GA). There are studies related...
One of the most challenging operational aspects in restructured systems with open transmission access is the power management of the grid. With the trend of an increasing number of bilateral and multilateral transactions submitted to the independent system operator (ISO), the possibility of insufficient resources in the transmission system may be unavoidable. In this paper, evolutionary computation...
This paper investigates into performance of Genetic Algorithms (GA) for solving combined heat and power dispatch (CHPD) problems in power systems. Different algorithms in different combinations of crossover and mutation functions of GA are explored and tested on a test case of combined heat and power dispatch problem. The simulation results show that all the floating point GAs (FPGA) perform better...
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