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Handbook of Test Problems in Local and Global Optimization

This collection of challenging and well-designed test problems arising in literature studies also contains a wide spectrum;

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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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Global Optimization

benchmark test problems and applications of global optimization, such as finding the conformation of a molecule or planning an optimal trajectory;

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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

techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm;

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Nonlinear Analysis and Global Optimization

, optimization models for networks of organ transplants, network curvature measures, error analysis through energy minimization and stability problems;

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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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Foundations of Computational Intelligence 03

algorithms) etc. Recently there has been a growing interest in combining global and local search strategies to solve more complicated optimization;

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Handbook of Recent Advances in Commodity and Financial Modeling: Quantitative Methods in Banking, Finance, Insurance, Energy and Commodity Markets

This handbook includes contributions related to optimization, pricing and valuation problems, risk modeling and decision making problems;

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Numerica

constraints and all global optima to optimization problems. Numerica is modeling language for global optimization that makes it possible to state;

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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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Global Optimization

study and shows the potential and high practical relevance of this new approach. Global Optimization: A Stochastic Approach is an;

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Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming

Interest in constrained optimization originated with the simple linear pro gramming model since it was practical and perhaps the only;

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Handbook of Convex Optimization Methods in Imaging Science

This book covers recent advances in image processing and imaging sciences from an optimization viewpoint, especially convex optimization;

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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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Handbook of Optimization in Electric Power Distribution Systems

This handbook gathers state-of-the-art research on optimization problems in power distribution systems, covering classical problems as well;

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Iterative Optimizers

of problems with varied difficulties. The book formally establishes a typology of optimization problems, from which a reliable test set can be;

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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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Handbook of Graph Theory, Combinatorial Optimization, and Algorithms

The fusion between graph theory and combinatorial optimization has led to theoretically profound and practically useful algorithms, yet;

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Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

-based optimization problems using MATLAB (R) m-files and Simulink (R) models Includes experimental analyses and results of test systems;

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Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

-based optimization problems using MATLAB (R) m-files and Simulink (R) models Includes experimental analyses and results of test systems;

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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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Aerospace System Analysis and Optimization in Uncertainty

modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range;

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Aerospace System Analysis and Optimization in Uncertainty

modeling, sensitivity analysis, uncertainty propagation, reliability analysis, and global multidisciplinary optimization. The extensive range;

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Algorithms for Optimization

; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for;

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A Brief Introduction to Continuous Evolutionary Optimization

Practical optimization problems are often hard to solve, in particular when they are black boxes and no further information about the;

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Note on Inheritance & Generalizability

in the research, CAM was successfully combined with a local search named the Dynamic Integrated System Optimization and Parameter Estimation;

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