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Parameter Estimation By Genetic Algorithms
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Book Synopsis Parameter Estimation by Genetic Algorithms by :
Download or read book Parameter Estimation by Genetic Algorithms written by and published by . This book was released on 1993 with total page 3 pages. Available in PDF, EPUB and Kindle. Book excerpt: Test/Analysis correlation, or structural identification, is a process of reconciling differences in the structural dynamic models constructed analytically (using the finite element (FE) method) and experimentally (from modal test). This is a methodology for assessing the reliability of the computational model, and is very important in building models of high integrity, which may be used as predictive tools in design. Both the analytic and experimental models evaluate the same quantities: the natural frequencies (or eigenvalues, ([omega]{sub i}), and the mode shapes (or eigenvectors, {var_phi}). In this paper, selected frequencies are reconciled in the two models by modifying physical parameters in the FE model. A variety of parameters may be modified such as the stiffness of a joint member or the thickness of a plate. Engineering judgement is required to identify important frequencies, and to characterize the uncertainty of the model design parameters.
Book Synopsis Parameter Estimation of Second-order Systems Using Genetic Algorithms by : K. R. Shubha
Download or read book Parameter Estimation of Second-order Systems Using Genetic Algorithms written by K. R. Shubha and published by . This book was released on 2000 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Objective of the thesis is to be able to develop a GA technique to optimize and hence estimate the parameter values for this three-variable system.
Book Synopsis Weibull Parameter Estimation Using Genetic Algorithms and a Heuristic Approach to Cut-set Analysis by : Gina M. Thomas
Download or read book Weibull Parameter Estimation Using Genetic Algorithms and a Heuristic Approach to Cut-set Analysis written by Gina M. Thomas and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis DNA Computing Based Genetic Algorithm by : Jili Tao
Download or read book DNA Computing Based Genetic Algorithm written by Jili Tao and published by Springer Nature. This book was released on 2020-07-01 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the implementation, evaluation and application of DNA/RNA-based genetic algorithms in connection with neural network modeling, fuzzy control, the Q-learning algorithm and CNN deep learning classifier. It presents several DNA/RNA-based genetic algorithms and their modifications, which are tested using benchmarks, as well as detailed information on the implementation steps and program code. In addition to single-objective optimization, here genetic algorithms are also used to solve multi-objective optimization for neural network modeling, fuzzy control, model predictive control and PID control. In closing, new topics such as Q-learning and CNN are introduced. The book offers a valuable reference guide for researchers and designers in system modeling and control, and for senior undergraduate and graduate students at colleges and universities.
Book Synopsis Parameter Estimation of a Groundwater System Using Genetic Algorithms by : Jonathan Jeffrey Giron
Download or read book Parameter Estimation of a Groundwater System Using Genetic Algorithms written by Jonathan Jeffrey Giron and published by . This book was released on 1996 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parameter Setting in Evolutionary Algorithms by : F.J. Lobo
Download or read book Parameter Setting in Evolutionary Algorithms written by F.J. Lobo and published by Springer Science & Business Media. This book was released on 2007-03-16 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.
Book Synopsis Parameter Estimation of Nonlinear Dynamic System Using Genetic Algorithm by : Mohamad Fitri Mohd. Nor
Download or read book Parameter Estimation of Nonlinear Dynamic System Using Genetic Algorithm written by Mohamad Fitri Mohd. Nor and published by . This book was released on 2006 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Practical Genetic Algorithms by : Randy L. Haupt
Download or read book Practical Genetic Algorithms written by Randy L. Haupt and published by John Wiley & Sons. This book was released on 2004-07-30 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: * This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition
Book Synopsis On the Use of a Parallel Multi-species Genetic Algorithm for Parameter Estimation in Structural Dynamics by : Soren Sebastian Funder Jorgensen
Download or read book On the Use of a Parallel Multi-species Genetic Algorithm for Parameter Estimation in Structural Dynamics written by Soren Sebastian Funder Jorgensen and published by . This book was released on 2003 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Development of a Genetic Algorithm-based Supervisor for Autonomous Modal Parameter Estimation by : Ketan S. Chhipwadia
Download or read book Development of a Genetic Algorithm-based Supervisor for Autonomous Modal Parameter Estimation written by Ketan S. Chhipwadia and published by . This book was released on 1998 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modelling and Parameter Estimation of Dynamic Systems by : J.R. Raol
Download or read book Modelling and Parameter Estimation of Dynamic Systems written by J.R. Raol and published by IET. This book was released on 2004-08-13 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a detailed examination of the estimation techniques and modeling problems. The theory is furnished with several illustrations and computer programs to promote better understanding of system modeling and parameter estimation.
Book Synopsis The Application of Genetic Algorithms to Parameter Estimation in Lead-acid Battery Equivalent Circuit Models by : Shen Guo
Download or read book The Application of Genetic Algorithms to Parameter Estimation in Lead-acid Battery Equivalent Circuit Models written by Shen Guo and published by . This book was released on 2010 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parallel Problem Solving from Nature - PPSN X by : Günter Rudolph
Download or read book Parallel Problem Solving from Nature - PPSN X written by Günter Rudolph and published by Springer Science & Business Media. This book was released on 2008-09-10 with total page 1183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Parallel Problem Solving from Nature, PPSN 2008, held in Dortmund, Germany, in September 2008. The 114 revised full papers presented were carefully reviewed and selected from 206 submissions. The conference covers a wide range of topics, such as evolutionary computation, quantum computation, molecular computation, neural computation, artificial life, swarm intelligence, artificial ant systems, artificial immune systems, self-organizing systems, emergent behaviors, and applications to real-world problems. The paper are organized in topical sections on formal theory, new techniques, experimental analysis, multiobjective optimization, hybrid methods, and applications.
Book Synopsis Parameter Estimation for Texture Modeling Using Simulated Annealing and Genetic Algorithm by : Pubali Banerjee
Download or read book Parameter Estimation for Texture Modeling Using Simulated Annealing and Genetic Algorithm written by Pubali Banerjee and published by . This book was released on 1997 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Computing and Communications, Part I by : Ajith Abraham
Download or read book Advances in Computing and Communications, Part I written by Ajith Abraham and published by Springer. This book was released on 2011-07-08 with total page 771 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first part of a four-volume set (CCIS 190, CCIS 191, CCIS 192, CCIS 193), which constitutes the refereed proceedings of the First International Conference on Computing and Communications, ACC 2011, held in Kochi, India, in July 2011. The 68 revised full papers presented in this volume were carefully reviewed and selected from a large number of submissions. The papers are organized in topical sections on ad hoc networks; advanced micro architecture techniques; autonomic and context-aware computing; bioinformatics and bio-computing; cloud, cluster, grid and P2P computing; cognitive radio and cognitive networks; cyber forensics; database and information systems.
Book Synopsis Genetic Algorithm Essentials by : Oliver Kramer
Download or read book Genetic Algorithm Essentials written by Oliver Kramer and published by Springer. This book was released on 2017-01-07 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.
Book Synopsis Parameter Estimation of Box-Jenkins Model Using Genetic Algorithm by : Nur'afifah Rusdi
Download or read book Parameter Estimation of Box-Jenkins Model Using Genetic Algorithm written by Nur'afifah Rusdi and published by . This book was released on 2013 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
