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Stochastic Global Optimization

Optimization has played a key role in the design, planning and operation of chemical and related processes, for several decades. Global;

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Bayesian and High-Dimensional Global Optimization

principles, potential and boundaries of applicability of stochastic global optimization techniques are examined in this book. A variety of issues;

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Foundations of Computational Intelligence 03

Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set;

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Simplicial Global Optimization

Simplicial Global Optimization is centered on deterministic covering methods partitioning feasible region by simplices. This book looks;

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Introduction to Nonlinear and Global Optimization

This self-contained text provides a solid introduction to global and nonlinear optimization, providing students of mathematics and;

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Global Optimization Using Interval Analysis

Employing a closed set-theoretic foundation for interval computations, Global Optimization Using Interval Analysis simplifies algorithm;

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Global Optimization

This self-contained monograph presents a new stochastic approach to global optimization problems arising in a variety of disciplines;

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Recent Advances in Global Optimization

This book will present the papers delivered at the first U.S. conference devoted exclusively to global optimization and will thus provide;

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Global Optimization

Contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as complexity, heuristic;

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Introduction to Global Optimization

Global optimization concerns the computation and characterization of global optima of nonlinear functions. Such problems are widespread;

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Introduction to Global Optimization Exploiting Space Filling Curves

Introduction to Global Optimization Exploiting Space-Filling Curves provides an overview of classical and new results pertaining to the;

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The GLOBAL Optimization Algorithm

stochastic multistart global optimization algorithm that has passed several computational tests, and is efficient and reliable for small to medium;

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Optimization of Global Project Management

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Mathematical Optimization Terminology

vector regression. This book also discusses about gradient-based cuckoo search for global optimization, a hybrid cuckoo search algorithm;

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Optimization and Applications

submissions. The papers are organized into the following topical sub-headings: mathematical programming, global optimization, discrete and;

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Strategic Optimization of Medium-Sized Enterprises in the Global Market

in the Global Market is a critical scholarly resource that highlights the optimization of management functions, such as working capital and;

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Advances in Optimization and Applications

reviewed and selected from 60 submissions. The papers are organized in topical sections on global optimization; combinatorial and discrete;

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

Stochastic global optimization methods and applications to chemical, biochemical, pharmaceutical and environmental processes presents;

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Development of a Kriging-based Metamodel for Global Optimization

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

global optimization space mapping optimization adjoint variable methods Nonlinear Optimization in Electrical Engineering with Applications;

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Optimization and Applications

, finance, and social sciences, global optimization, and applications. * The conference was held virtually due to the COVID-19 pandemic.;

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Learning and Intelligent Optimization

, multi-objective, max-clique problems, bayesian optimization and global optimization, data mining and - in a special session - also on dynamic;

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Introduction to Applied Optimization

optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control;

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Introduction to Applied Optimization

optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control;

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Learning and Intelligent Optimization

programming, global optimization, machine learning, and artificial intelligence and describe advanced ideas, technologies, methods, and applications;

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Solving Optimization Problems with MATLAB (R)

This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied;

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Advances in Swarm Intelligence

; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization.;

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