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Advances in Metaheuristic Algorithms for Optimal Design of Structures

Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a multi-objective Optimization is presented to Solve large scale structural problems;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a multi-objective Optimization is presented to Solve large scale structural problems;

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Reliability-based Structural Design

method, reliability analysis via stochastic expansion, and optimization under uncertainty. It examines the use of stochastic expansions;

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Swarm Intelligence

mathematical optimization, addressing basic concepts related to swarm intelligence, such as randomness, random walks, and chaos theory. The text then;

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Swarm Intelligence

mathematical optimization, addressing basic concepts related to swarm intelligence, such as randomness, random walks, and chaos theory. The text then;

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Optimization Under Uncertainty with Applications to Aerospace Engineering

In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex;

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Bifurcation and Nonlinear Dynamics in Neural Network

dynamics and chaos exist in several levels of neural systems from micro to macro levels. This is a strong motivation for the addition of nonlinear;

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Advances in Neural Networks ISNN 2020

were organized in topical sections named: optimization algorithms; neurodynamics, complex systems, and chaos; supervised/unsupervised;

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Uncertainty Management for Robust Industrial Design in Aeronautics

This book covers cutting-edge findings related to uncertainty quantification and optimization under uncertainties (i.e. robust and reliable;

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Optimal Control And Forecasting Of Complex Dynamical Systems

of variational calculus, the book discusses optimal control theory and global optimization using modern numerical techniques. Key elements of chaos;

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Optimization and Chaos

of the manuscript. For a course on dynamic optimization addressed to students with a good background in economic theory and real analysis, one;

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Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles

. This book focuses on data-driven modelling using methods of nonlinear dynamics and chaos theory. First, some fundamentals of physical;

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Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles

. This book focuses on data-driven modelling using methods of nonlinear dynamics and chaos theory. First, some fundamentals of physical;

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Combinatorial Optimization and Applications

This book constitutes the refereed proceedings of the 9th International Conference on Combinatorial Optimization and Applications, COCOA;

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Fundamentals of Optimization Techniques with Algorithms

Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system;

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Optimization And Anti-optimization Of Structures Under Uncertainty

The volume presents a collaboration between internationally recognized experts on anti-optimization and structural optimization, and;

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Nonlinear Interval Optimization for Uncertain Problems

This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming;

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Mathematical Optimization Terminology

of power distribution systems. It includes a short survey on model-based evolutionary algorithms and study on parameter optimization for support;

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Evolutionary Multi-Criterion Optimization

optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate;

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Query Optimization

The Query Optimization for Data Warehouse Applications book provides novel solutions to support real time data and overcome query latency;

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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R)

and adapt. Topics covered include: classical optimization methods one dimensional optimization unconstrained and constrained optimization;

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Engineering Optimization 2014

specialists from engineering, mathematics, computer science and even social sciences. Optimization methodologies are fundamental instruments to tackle;

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Handbook on Semidefinite, Conic and Polynomial Optimization

Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite;

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Riemannian Optimization and Its Applications

optimization problems, discusses the theoretical properties of these algorithms, and suggests possible applications of Riemannian optimization to;

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Finite Elements-based Optimization

This book is intended to be a cookbook for students and researchers to understand the finite element method and optimization methods and;

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Design Optimization using MATLAB and SOLIDWORKS

A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this;

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