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Designing Engineering Structures using Stochastic Optimization Methods

, there are limitations in using traditional methods. As such, stochastic optimization methods such as differential evolution, simulated annealing;

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Stochastic Optimization with Simulation Based Optimization

of handling complex domain structures and random variables renders analytic methods helpless in many circumstances, stochastic optimization based on;

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Stochastic Optimization Methods: Applications in Engineering and Operations Research

problems are needed. Based on the probability distribution of the random data and using decision theoretical concepts, optimization problems under;

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Stochastic Process Optimization using Aspen Plus (R)

Stochastic Process Optimization using Aspen (R) Plus Bookshop Category: Chemical Engineering Optimization can be simply;

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Stochastic Process Optimization using Aspen Plus (R)

Stochastic Process Optimization using Aspen (R) Plus Bookshop Category: Chemical Engineering Optimization can be simply defined as;

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The Feature-Driven Method for Structural Optimization

, integrating structural optimization and feature-based design. The book presents cutting-edge research on advanced structures and introduces the;

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Recent Advances in Optimal Structural Design

algorithms, the role of optimization during the various stages of structural design, and the stochastic nature of design in relation to structural;

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Adaptive Stochastic Optimization Techniques with Applications

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on;

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Stochastic Optimal Control of Structures

stochastic optimal control of randomly-excited engineering structures in the context of probability density evolution methods, such as physically;

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Stochastic Optimal Control of Structures

stochastic optimal control of randomly-excited engineering structures in the context of probability density evolution methods, such as physically;

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Descent Directions and Efficient Solutions in Discretely Distributed Stochastic Programs

. Concrete problems of this type are stochastic linear programs with recourse, portfolio optimization problems, error minimization and optimal design;

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Optimization in Engineering Sciences

The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems;

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Analysis and Optimization of Prismatic and Axisymmetric Shell Structures

engineering systems. Mankind has struggled to replicate natures optimization of such structures but using modern computational tools it is now;

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Analysis and Optimization of Prismatic and Axisymmetric Shell Structures

engineering systems. Mankind has struggled to replicate nature's optimization of such structures but using modern computational tools it is now;

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Optimization In Chemical Engineering

Optimization is used to determine the most appropriate value of variables under given conditions. The primary focus of using optimisation;

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Stochastic Global Optimization

optimization has been receiving considerable attention in the past two decades. Of the two types of techniques for global optimization, stochastic;

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Stochastic Dynamics of Structures

In Stochastic Dynamics of Structures , Li and Chen present a unified view of the theory and techniques for stochastic dynamics analysis;

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Stochastic Networked Control Systems: Stabilization and Optimization Under Information Constraints

-contained book, Stochastic Networked Control Systems: Stabilization and Optimization under Information Constraints aims to connect these diverse;

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Algorithms for Optimization

surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation;

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Introduction to Dynamics and Control in Mechanical Engineering Systems

of the response of structures to stochastic loads. The analysis methods are based on structural models represented via the Finite Element Method;

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Introduction to Computational Earthquake Engineering

numerical simulation of strong ground motion and faulting, respectively. Stochastic modeling is used for uncertain underground structures, and;

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Computer Aided Methods In Optimal Design And Operations

range of optimization methods - deterministic, stochastic, global and hybrid - are considered.Containing papers presented at the bilateral;

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Civil Engineering Problems and Solutions

in Civil Engineering application. The last chapters of the book describe parametric optimization for the vibration control of building structures;

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Uncertainty Quantification and Stochastic Modelling with EXCEL

administration, civil engineering, and economics, using Excel as a computational tool. Also included are solutions to uncertainty problems involving;

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Lifeline Engineering Systems

stochastic analysis of structures based the physical idea, probability analytical algorithms for network evaluation by employing Boolean Algebra;

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Lifeline Engineering Systems

stochastic analysis of structures based the physical idea, probability analytical algorithms for network evaluation by employing Boolean Algebra;

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