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Data classification is a prime task in data mining. Accurate and simple data classification task can help the clustering of large dataset appropriately. In this paper we have experimented and suggested a simple ANN based classification models called as minimal ANN (MANN) for different classification problems. The GA is used for optimally finding out the number of neurons in the single hidden layered...
In this paper, a comparative transient performance of single-input conventional power system stabilizer (CPSS) and dual-input power system stabilizer (PSS), namely PSS4B is analyzed. The optimal parameters of both the CPSS and PSS4B are obtained with the help of hybrid evolutionary programming (HEP) technique. Step 1% perturbation in reference voltage and/or mechanical power input is applied to obtain...
Several strategies have been proposed to provide quality solutions to the unit commitment problem and increase the potential saving in the power system operation. These include deterministic and stochastic search algorithms. One of the limitations of deterministic approaches is, they suffer from the curse of dimensionality when dealing with the modern power system with large number of generators....
This paper proposes a new method for the incorporation of the generation unit and transmission line unavailability in the solution of the unit commitment problem. The above parameters are taken into account in order to assess the required spinning reserve capacity at each hour of the dispatch period, so as to maintain an acceptable reliability level. The unit commitment problem is solved by a Genetic...
Route selection is one of the most important problems for a car navigation system. Given a pair of origin and destination, there are many possible routes. Most current car navigation systems propose the shortest path from the origin to the destination. Selecting the shortest path is not a hard problem, but the shortest path is not always what the user wants; what the user really wants to have is the...
This paper describes evolutionary image filter design for noise reduction using genetic algorithm (GA), where the circuit complexity, power and signal delay are optimized. First, the evaluating value about correctness, complexity, power and signal delay are introduced to the fitness function. Then GA autonomously synthesizes a circuit which is simple and has good performance. To verify the effectiveness...
This work presents system identification using neural network approaches for modelling a laboratory based twin rotor multi-input multi-output system (TRMS). Here we focus on a memetic algorithm based approach for training the multilayer perceptron neural network (NN) applied to nonlinear system identification. In the proposed system identification scheme, we have exploited three global search methods...
Microgrids are low voltage intelligent distribution networks comprising various distributed generators, storage devices and controllable loads which can be operated as interconnected or as islanded system. The optimal generation scheduling is one of the important functions for the Microgrid operation. This paper describes a three-step efficient method for the optimal generation scheduling of a Microgrid...
This paper presents an algorithm for thermal optimization formulation strategies for multi-heat generation of integrated circuit (IC) on printed circuit board (PCB). Weighted-sum approach for multi-objective genetic algorithm (WMOGA) with formulated initial placement and multi-constraints parameters (FIPMCP) are presented. FIPMCP is used for the components selection and components to PCB placement...
In this paper, a model predictive control method is proposed to improve the performance on both temperature control and energy conservation for central air-conditioning system. Since the lack of consideration of the impact of cooling load can lead to a limitation on the energy saving effect, a cooling load model is proposed. Parameters in cooling load model, as well as the temperature model and energy...
To alleviate positioning error using wireless ultra wideband (UWB) is primary concern, and it has been studied how to reduce the positioning error effectively. Thanks to many repeated transmissions of UWB signals, we can have a variety of selections to point out the most precise positioning result. Towards this, scanning method has been preferred to be used due to its simplicity. This exhaustive method...
In recent past a number of researchers have proposed strategies for finding test order during Integration testing of object oriented applications while minimizing the cost of stub creation. Some researchers have used graph-based approach while others have suggested solutions using genetic algorithms. This paper presents a survey of various graph-based strategies and genetic algorithm based strategies...
This work deals with the design of electromagnetic absorber of interest in radar absorbing material (RAM) and microwave shielding systems. This absorber is based on a multilayer structure and the parameters taken into account are: number of layers, absorption maximization, microwave angle of incidence and frequency band. Design and optimization of the absorber are carried out using a genetic algorithm...
Based on data collected previously on the electricity market of the East China, we use stepwise regression method to find the approximate expression of the active power flow of each power sets on East Chinapsilas certain electrical network. Then classified discussion is carried out according to the difference of the capacity in and out of merit in order to obtain a simple and reasonable rule for calculating...
Because there were a lot of facts that affect the intensity of coal and gas outburst, a BP neural network model for forecasting the intensity was constructed. Aimed at the shortcoming of the BP neural network, such as the slow training speed, easy to be trapped into the local optimums, and the premature convergence of genetic algorithm (GA) BP neural network, a method to design the BP neural network...
Cellular manufacturing (CM) is an important application of group technology (GT) in which families of parts is produced in manufacturing cells or in a group of various machines. In this paper, a genetic algorithm approach is proposed for solving multi-objective cell formation problem. The objectives are the minimization of both total moves (intercell as well as intracell moves) and the cell load Variation...
Ternary codes have been widely used in radar and communication areas, but the synthesis of ternary codes with good discrimination factor is a nonlinear multivariable optimization problem, which is usually difficult to tackle. To get the solution of above problem many global optimization algorithms like genetic algorithm, simulated annealing, and tunneling algorithm were reported in the literature...
In this paper we consider a scheduling problem where a set of jobs are simultaneously available for processing in a no-wait two-machine flowshop. All jobs are processed on both machines in batches. Batching machines can process several tasks per batch so that all tasks of the same batch start and complete together. The batch processing time for the first machine is equal to the maximal processing...
In this paper, first raised the possibility of such a tendency on services framework - a degree of dependence. The framework and support-confidence framework completely different. D database is the tendency of the incident and the extent of the incidents linked to the degree of measure contains rules. Comparatively speaking, more direct causal relationship between the events described, a more effective...
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