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This paper first presents a novel model for QoS-aware web services composition based on workflow patterns, and an executing path tree with probability. Then a discrete PSO algorithm is proposed to fit our model, which also requires some other preliminary algorithms, such as the generation of all reachable paths and executing path tree. The experiments show the performance of that algorithm and its...
With the development of thermal power industry, statistics on the NOx emissions become important. In this paper, based on the traditional support vector machine model, we establish support vector machine model optimized by genetic algorithm, improve the prediction accuracy of SVM model. Use the NOx emissions data from 1995 to 2009, predict the NOx emissions from thermal power plant in the year of...
A bio-inspired nano-fluidic system mimicking the nuclear pore complex (NPC) is investigated for fluidic transport by optimizing the geometry. In general, nuclear pore complex contains very distinct geometrical components to allow various macromolecules very effectively through the pore. In order to understand and design fluidic systems for drug delivery and other applications, this study explored...
This study minimizes the periodic preventive maintenance cost for a series-parallel system using the particle swam optimization (IPSO). The optimal maintenance periods for all components in the system are determined efficiently. The proposed IPSO considers maintainable properties of a seriesparallel system. The importance measure of components is utilized to evaluate the effects of components on system...
This paper presents the application of three intelligent optimization techniques for optimal design and analysis of a dc-dc converter with synchronous rectification which is often used in battery charge/discharge circuits in dc uninterruptible power supply systems. Converter models for simulation are designed for the forward and backup modes of operation. The results are analyzed and compared with...
This paper is involved in the optimization of line distribution network. The mathematical optimization model with the investment, power and energy losses, and the selection of the line and line location, is discussed. A hybrid optimization strategy based on the adaptive probabilistic optimization technique of genetic algorithm and population intellectual technology of particle swarm optimization algorithm...
We derived a dynamic motion equation of fish robot with 3-joints to analyze the propulsive motion characteristics according to the parameters variation of input torque function. Then, the parameters of input torque function are optimized by Genetic Algorithm (GA). And a fish robot with 1.2m length, 0.18m width and 0.18m height is developed for experiments. Finally, the dynamic motion equation of fish...
This paper presents a model for calculating and balancing the current distribution in parallel windings of furnace transformers. The proposed model is based on the finite-element method and takes into account the ??skin effect?? impact on the individual conductor resistances and self inductances. Because of mutual inductive coupling between the parallel windings, electromagnetic forces will cause...
An important problem in electrical engineering is to determine the optimal directional overcurrent relay times. The problem is modeled as a constrained nonlinear continuous optimization problem in which the decision variables are the devices that control the act of isolation of faulty lines from the system without disturbing the healthy lines. Two models are considered namely IEEE-3 bus system and...
Heat-supply network is an important part of centralized heat-supply system, and the pipe impedance can affect heat-supply network at many sides. Based on matrix equation of spatial heat-supply network hydraulic calculation method and impedance identification equation, we study the pipe impedance problem in a realistic heat-supply network, which can be transformed into optimization function and solved...
This paper proposes a surface optimization method on ergonomics and surface fairing in the process of product design. First, build constructive curves and surface by the key ergonomics points which had been measured. Secondly, establish the optimization mathematic model of curves and surface by energy method. Then, define the penalty factor in order to change the constrained optimization into the...
This paper presents a novel and practical approach for integrating simulation and optimization of system dynamics (SD) models using Matlab and Simulink. The Matlab platform allows much freedom in customizing and implementing global search techniques such as genetic algorithms (GA) and artificial intelligence constructs like fuzzy logic. The Simulink platform allows complex nonlinear dynamic models...
The present study proposes an alternate method based on genetic algorithm (GA) to estimate the subsurface lithologic parameters such as P-wave velocity, the S-wave velocity and the density for subsurface earth layers occurring at a particular location. These are useful parameters to discriminate lithology and help in detecting hydrocarbons from seismic data. However, estimation of the lithologic parameters...
Design of an optimal controller requires optimization of multiple performance measures that are often noncommensurable and competing with each other. Design of such a controller is indeed a multi-objective optimization problem. Being a population based approach; genetic algorithm (GA) is well suited to solve multi-objective optimization problems. This paper investigates the application of GA-based...
This paper presents Biogeography Based Optimization (BBO) technique for solving constrained economic dispatch problems in power system, Considering valve point nonlinearities of generators. In this paper, two ELD problems of different characteristics have been used to investigate the effectiveness of the proposed algorithm A comparison of simulation results reveals that the proposed algorithm is better...
This paper presents a study on the significance of length of remediation time, on the optimal groundwater remediation design by considering two possible groundwater remediation scenarios. The objective of this problem is to minimize the total remediation cost conditioned by some constraints. Flow and transport simulators MODFLOW and MT3DMS are coupled with a genetic algorithm (GA) based optimization...
Aiming to the shortages of fuzzy c-means clustering applied to pattern recognition, an improved method by genetic algorithm is proposed. This method can not only automatically optimizes the classification number, but also search the global optimal solution for the clustering center. The experimental results demonstrate this proposed method is excellent for pattern recognition.
This paper presents investigations into modeling and active vibration control (AVC) of a flexible plate structure using continuous ant system algorithm (CASA) such structures. The optimization technique is utilized to obtain a dynamic model of a flexible plate structure based on auto-regressive with exogenous (ARX) input model structure. The flexible plate structure is subjected to two different disturbance...
On the basis of power-law approaches such as the frequency-degree, degree-rank, Internet topology modeling was studied and obvious power-law properties together with corresponding power exponents depicting characters of Internet topology structure were found. Then, an improvement of BA model was started to better charactering Internet topology by means of an optimization procedure with respect to...
According to characteristics of perpendicularity error evaluation of planar lines, particle swarm optimization (PSO) is proposed to evaluate the minimum zone error. The evolutional optimum model and the calculation process are introduced in detail. Compared with conventional optimum methods such as simplex search and Powell method, it can find the global optimal solution, and the precision of calculating...
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