Includes bibliographical references and index.
|Statement||Yaoguo Dang, Sifeng Liu, and Yuhong Wang|
|Series||Systems evaluation, prediction, and decision-making series|
|Contributions||Liu, Sifeng, Wang, Yuhong, 1978-|
|LC Classifications||HD2326 .D36 2010|
|The Physical Object|
|LC Control Number||2010025851|
Optimization of Regional Industrial Structures and Applications *?Yaoguo Dang/Sifeng Liu/fuhong Wang/ CRC Press Taylor & Francis Group Boca Raton London New York CRC Press is an imprint o f the Taylor & Francis Group, an Informa business AN AUERBACH BOOK. Optimization of Structural Systems and Industrial Applications Computer Aided Optimum Design of Structures Editors: Hernandez, S. Robert, Brebbia, C.A. (Eds.). The influence of industrial structure adjustments on industrial spatial optimization is revealed based on a WECC status assessment. This influence is considered in the process of industrial spatial optimization, providing a system for combining industrial structure upgrading and spatial optimization based on by: The book focuses on large deformation structural optimization algorithms and applications, covering the basic principles of modern day topology optimization and comparing the benefits and flaws of different algorithms in use.
An industrial book that analyses various theoretical problems, optimizes numerical applications and addresses industrial problems such as belt-conveyor bridge, pipeline, wind turbine power, large-span suspended roof and offshore jacket member. Multi-storey frames and pressure vessel-supporting frames are discussed in detail. Evolutionary Multiobjective Optimization is a rare collection of the latest state-of-the-art theoretical research, design challenges and applications in the field of multiobjective optimization paradigms using evolutionary algorithms. It includes two introductory chapters giving all the fundamental. Researchers and practitioners in computer science, optimization, operations research and mathematics will find this book useful as it illustrates optimization models and solution methods in discrete, non-differentiable, stochastic, and nonlinear optimization. The theory and applications of all these techniques are also presented in the book. Some of the recently developed methods of optimization, such as genetic algorithms, simulated annealing, particle swarm optimiza- tion, ant colony optimization, neural-network-based methods, and fuzzy optimization, are also Size: 9MB.
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