genetic algorithm for plasma chemical reactor modelling
An efficient genetic algorithm for the p median
... operators For example, for a problem with (n, p) = (100, 20), the algorithm terminates if 448 successive children fail in improving the best solution (For all of our test problems, we had n > 2p √ For ... computational effort 4.10 Algorithm The overall algorithm can be stated as follows Algorithm Generate an initial population of size P (n, p) as described in section 4.4 Initialize a variable for keeping ... could improve the performance on some problems by slowing down convergence We made no effort to customize the algorithm to the problems on hand, and used the same formulas for the population size...
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principles of chemical reactor analysis and design new tools for industrial chemical reactor operations
... Multiphase reactors: (a) packed-bed reactor, (b) moving-bed reactor, (c) fluidized-bed reactor, (d ) bubbling column reactor, (e) spray reactor, and ( f ) kiln reactor 1.2 CLASSIFICATION OF CHEMICAL REACTORS ... the operation of chemical reactors and of the concepts and methods used to describe them A chemical reactor is an equipment unit in a chemical process (plant) where chemical transformations (reactions) ... PRINCIPLES OF CHEMICAL REACTOR ANALYSIS AND DESIGN New Tools for Industrial Chemical Reactor Operations Second Edition UZI MANN Texas Tech University PRINCIPLES OF CHEMICAL REACTOR ANALYSIS...
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Báo cáo hóa học: " 2DPCA fractal features and genetic algorithm for efficient face representation and recognition" pdf
... the simple genetic algorithms There are many algorithms of optimization used for different domains We have chosen genetic algorithm [17-19] to accelerate our fractal image coding algorithm We ... this article, a new genetic algorithm for image coding, that speeds up this method In the next, we have detailed our algorithm: the representation of the fitness function, the Genetic operators ... RMSE) 4) Genetic coding algorithm Genetic algorithms have been used previously to find solutions to the minimization problems related to the fractal inverse problem [18] Here, we describe the Genetic...
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application of real coded genetic algorithm for ship hull surface fitting with a single non-uniform b-spline surface
... Optimization 41 4.2 Overview of Real Coded Genetic Algorithm 42 4.3 Fitness Function For Non-Uniform B-spline Surface Fitting 43 4.4 Encoding for Initial Population 43 4.5 Reproduction ... required to be as accurate as possible for the effective support of ship production as well as for numerical performance analysis A traditional method for ship hull form reconstruction is skinning operation ... These factors provide a powerful tool for the hull form construction at the initial design stage Key words: Surface Fitting, Hull Form Reconstruction, Genetic Algorithm, Multimodal Optimization,...
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Multi objective genetic algorithm for robust flight scheduling
... Multi-objective Genetic Algorithms 4.2.1 Genetic Algorithms Genetic algorithms (GAs) were formally introduced in the United States in the 1970s by John Holland at University of Michigan Genetic Algorithms ... 4.2 Multi-objective Genetic Algorithms 35 4.2.1 Genetic Algorithms 35 4.2.2 Multi-Objective Genetic Algorithms 36 4.3 Components of the genetic algorithm 40 ... passenger flow) for the problem for a given airline The solution algorithm is derived by applying Benders’ decomposition algorithm to a mix-integer linear programming formulation for the problem...
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OPTIMAL placement of FACTS devices by genetic algorithm for the increased load ability of a power system
... FACTS Devices in Deregulated Electricty Market Using Genetic Algorithms” 0-7803-8718X/04/2$ 20.00 © 2004 IEEE [15] D.E.Goldberg, “ Genetic Algorithms in search, optimization & Learning”, Addison-wesley ... system performance This approach could be a new technique for the installation of FACTS devices in the transmission system REFERENCES [1] Fig Variation of Total Cost with Generation for 160 % ... faculty for six years He also served as a Faculty of Electrical Engineering in BITS,Pilani for nearly one year He had also worked in reputed Cable Industry as Assistant Engineer (Test) for two...
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A genetic algorithm for power aware virtual machine allocation in private cloud
... of each chromosome as in the Algorithm A Genetic Algorithm for Power-Aware Virtual Machine Allocation 187 Algorithm Construct fitness function powerOfDatacenter := For each host ∈ collection of ... maximum requirements of n VMs 2.4 The GAPA Algorithm The GAPA, which is a kind of Genetic Algorithm (GA), solves the SVMAP The GAPA performs steps as in the Algorithm In the GAPA, we use a tree structure ... can extend for other resource types such as memory, disk space, network bandwidth, etc 186 N Quang-Hung et al Algorithm GAPA Algorithm Start: Create an initial population randomly for s chromosomes...
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Optimal placement of horizontal - and vertical - axis wind turbines in a wind farm for maximum power generation using a genetic algorithm
... Brief description of genetic algorithm In this section we provide a brief introduction to the genetic algorithm Genetic algorithms (GA) are a class of stochastic optimization algorithms inspired ... mean and median objective valuses for Case I (b) Standard deviations for Case I (c) Best, mean and median objective values for Case II (d) Standard deviations for Case II Figure Convergence history ... by Means of a Genetic Algorithm J of Wind Engineering and Aerodynamics Vol 51, pp 105-116, 1994 [2] Grady S.A., Hussaini M.Y., Abdulla M.M Placement of Wind Turbines Using Genetic Algorithms Renewable...
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Báo cáo sinh học: "An ’average information’ restricted maximum likelihood algorithm for estimating reduced rank genetic covariance matrices or covariance functions for animal models with equal design matrices" pot
... design matrices for all traits; see Jensen and Mao (1988) for a review For these, a canonical decomposition of the genetic and residual covariance matrix together yields a transformation to uncorrelated ... subvector m of a for trait m, ie, b is simply a weighted sum of solutions for animals in the data i i Ek¡ For O (J&dquo; and y - Xb - Zu the vector of residuals for [1] with subvectors t m for m 1, , ... Average information = ) * f (L thus V * = ) * Var(y blockdiagonal for traits, [20] l k bi are zero except for subvectors for traitsk and l, bi si and bi sk , with Sj standing in turn for A!Zoa!...
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Báo cáo sinh học: " A fast algorithm for BayesB type of prediction of genome-wide estimates of genetic value" pps
... advantageous if a much faster algorithm for the calculation of BayesB GW-EBV would be available Thus, our aim here is to present a fast nonMCMC based algorithm for the calculation of BayesB type ... solution, e.g g = 0, the algorithm performs within each iteration the following steps: For all SNPs i = 1, , m, Step 1: calculate 'adjusted' records, y-i, which are corrected ˆ for all the other SNPs ... Heuristically this occurs because for small there are only few non zero marker effects, but those present are large; therefore E Page of 10 (page number not for citation purposes) Genetics Selection Evolution...
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A uniformly sampled genetic algorithm with gradient search for system identification
... A UNIFORMLY SAMPLED GENETIC ALGORITHM WITH GRADIENT SEARCH FOR SYSTEM IDENTIFICATION Zhang Zhen (B.Eng., HUST, M.Eng., WHUT ) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF ... 1.2.2.2 Genetic Algorithm 19 1.3 Objective and Scope 22 1.4 Organization of Thesis 24 Uniformly Sampled Genetic Algorithms: ... 1.1.1 Second-Order Model For equilibrium of a dynamic system, three resisting forces resulting from the motion, i.e., the inertial force, the damping force and the spring force, counteract the external...
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A fast algorithm for modelling multiple bubbles dynamics
... As for the FFTM methods, the speedup is obviously gained from the use of the Fast Fourier Transform algorithms for computing the discrete convolutions In this thesis, the Fast Fourier Transform ... search for more efficient methods that scale significantly better than O(N ) Generally, these methods are collectively known as the fast algorithms Various fast algorithms have been developed for solving ... FFTM clustering algorithm 76 4.2 Results and discussion 80 4.2.1 Performance of the FFTM Clustering on two bubbles 81 4.2.2 Performance of the...
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Bi level genetic algorithm approach for 3d road alignment optimization
... 14 2.3.4 Genetic Algorithms 15 MODELS FOR OPTIMIZING THE 3D ROAD ALIGNMENT 16 2.4.1 Dynamic Programming 16 2.4.2 Numerical Search 17 2.4.3 Genetic Algorithms 17 OVERVIEW OF GENETIC ALGORITHMS ... solution 2.2.5 Genetic Algorithms The genetic algorithm is search method motivated by the principles of natural selection and “survival of the fittest” A genetic algorithm performs a multi-directional ... Fitness Function 61 4.2.5 Genetic Operators 62 4.2.6 Convergence 65 4.2.7 Case Study 65 BI-LEVEL GENETIC ALGORITHMS FOR OPTIMIZING THE 3D ROAD ALIGNMENT 4.3.1 69 Bi-level Formulation of the 3D road...
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Báo cáo y học: " Derivation and preliminary validation of an administrative claims-based algorithm for the effectiveness of medications for rheumatoid arthritis"
... effectiveness of medications for rheumatoid arthritis (RA) due to the lack of a validated algorithm for this outcome We created and tested a claims-based algorithm to serve as a proxy for the clinical effectiveness ... administrative claims data To test the performance of the effectiveness algorithm and to see whether it was similar for non-biologic RA treatments, we performed a separate analysis of RA patients ... performance characteristics of the effectiveness algorithm between biologic and DMARD treatment episodes, the data were shown throughout for the biologic users as a unique group, and also for...
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genetic algorithm based solar tracking system
... that Genetic Algorithm performs better than Simulated Annealing and Threshold Acceptance The proposed method improves search speed, good accuracy and approximate solution Optimization Method Genetic ... Function Value for each iteration using threshold acceptance Discussion Conclusion From the result, graph shows the best fitness value 0.01706 that could be achieved using Genetic Algorithm through ... respectively, this is to prove that Genetic Algorithm is converging to the global minimum value by having lowest fitness value as shown below: The proposed algorithm is used to control both X...
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Tài liệu A genetic Algorithm Tutorial doc
... º ¹ ¹· Ý ´ Ý ¹ ¼ ´ ¹ ¶ ´ Ý µ B ¹ ` ¼ Ýb ´ ¸ ¦ § ¤ An Island Model Genetic Algorithm A Cellular Genetic Algorithm å 6ì gf g qq qi h4EY&1eY&¦6trElÀ$ ~ `toqCw¥hnltp6H4tfhle{s4`£...
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A new algorithm for enumeration of minimum cutsets of graph by branch addition
... routine is performed for node sets with 3, 4… (n-m-1) nodes and the minimum cutsets are evaluated, respectively The flowchart of the new algorithm is shown in figure START Load Network's Information ... row4 – { e5}={ e2 , e3 , e4} 6) row = { e4 , e5} IV DEVELOPMENT OF THE BRANCH ADDITION ALGORITHM FOR V NEW ALGORITHM TO CALCULATE MINIMUM CUTSETS GRAPH WITH SOME INPUT NODES Inputs: n: number of ... of minimum cutset However, this problem can be solved easily For this approach, above algorithm should be changed as follows: The algorithm will be repeated p times to evaluate minimum cutsets...
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Reliability evaluation algorithm for complex medium voltage electrical distribution networks based on the shortest path
... network are therefore formed based on the primary network search for upstream circuit breaker J 2.4.4 identifying the classes of nodes: From Section 2.4.1, the upstream nodes before the switching ... Class D into Class C The repair time for a transformer is much longer than the replacement time, and therefore the difference between the reliability indices for the two cases is significant It ... discomensfusesalternative supply-transform repair Case B: no disconnectsno fuses-no alternative supply-transform repair Case C no disconnects-fusesno alternative supply-transform repair Case D disconnectsno...
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A dynamic programming algorithm for RNA structure
... nested algorithm provides a way to unify the currently available dynamic algorithms for RNA folding At a given order, the error of the approximation is Figure Recursion for wx in the nested algorithm ... introduced for the nested algorithm (that ISs of y > or multiloops are described in some approximated form) Despite these limitations, this truncated pseudoknot algorithm seems to be adequate for the ... algorithm for energy minimization, extending MFOLD to pseudoknotted structures, the algorithm is not limited to energy minimization Our algorithm can be converted into a probabilistic model for...
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Tài liệu METHODS FOR ORGANIC CHEMICAL ANALYSIS OF MUNICIPAL AND INDUSTRIAL WASTEWATER ppt
... for each parameter using the four results 8.2.5 For each parameter compare s and with the corresponding acceptance criteria for precision and accuracy, respectively, found in Table If s and for ... held at 100°C for four minutes, then programmed at 8°C/min to a final hold at 280°C Table 3—QC Acceptance Criteria—Method 610 Parameter Test conc (µg/L) Limit for s Range for Range for (µg/L) (µg/L) ... of 5-25 µL for HPLC and 2-5 µL for GC, analyze each calibration standard according to Section 12 or 13, as appropriate Tabulate peak height or area responses against concentration for each compound...
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