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Numerical Optimization in Engineering and Sciences

Sciences (NOIEAS) 2019. The book covers a wide variety of numerical optimization techniques across all major engineering disciplines like;

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Numerical Optimization in Engineering and Sciences

Sciences (NOIEAS) 2019. The book covers a wide variety of numerical optimization techniques across all major engineering disciplines like;

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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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Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

applying evolutionary and deterministic methods in optimization of design and emphasizing on industrial and societal applications.;

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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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Metaheuristic Optimization

-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex;

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Matrix, Numerical, and Optimization Methods in Science and Engineering

Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text;

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

Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R) provides an introductory course on nonlinear optimization;

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Recent Advances in Computational Engineering

optimization of complex engineering applications and natural phenomena. The book contains an overview of selected approaches from numerics and;

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Structural Health Monitoring and Engineering Structures

include damage assessment, structural health monitoring, engineering fracture mechanics, Inverse problem using optimization techniques, machine;

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A First Course in Optimization

-semester course in optimization taken by advanced undergraduate and beginning graduate students in the mathematical sciences and engineering. It;

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Recent Advances in Engineering Mathematics and Physics

conference: Advanced computational techniques in engineering and sciences; computational intelligence; photonics; physical measurements and big data;

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Applied Computer Sciences in Engineering

; power applications; simulation systems; optimization.;

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Applied Computer Sciences in Engineering

. The papers are organized in the following topical sections: computational intelligence; computer science; optimization; bioengineering;

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Optimization for Engineering Problems

Optimization is central to any problem involving decision-making in engineering. Optimization theory and methods deal with selecting the;

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Engineering Optimization

The classic introduction to engineering optimization theory and practice--now expanded and updated Engineering optimization helps engineers;

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Optimization in Engineering Sciences

The purpose of this book is to present the main methods of static and dynamic optimization. It has been written within the framework of the;

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Trends in Differential Equations and Applications

optimization. In particular, it helps readers gain an overview of specific problems of interest in the current mathematical research related to;

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Engineering Optimization

The revised and updated new edition of the popular optimization book for engineers The thoroughly revised and updated fifth edition;

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Designing Engineering Structures using Stochastic Optimization Methods

issues can only be accomplished by applying mathematical optimization methods. Furthermore, due to the practical issues in engineering problems;

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Teaching Learning Based Optimization Algorithm

Describing a new optimization algorithm, the Teaching-Learning-Based Optimization (TLBO), in a clear and lucid style, this book;

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Advances and Trends in Optimization with Engineering Applications

Optimization is of critical importance in engineering. Engineers constantly strive for the best possible solutions, the most economical use;

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Approaches to the Theory of Optimization

Optimization is concerned with finding the best (optimal) solution to mathematical problems that may arise in economics, engineering, the;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta;

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Optimization in Engineering

This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization;

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Nonlinear Analysis

highlights interesting aspects of nonlinear analysis and optimization together with many applications in the areas of physical and social sciences;

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Engineering Optimization

Modern optimization techniques are widely applicable to many applications, and metaheuristics form a class of emerging powerful algorithms;

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