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Solving Non-standard Packing Problems by Global Optimization and Heuristics

non-standard packing issues. The final Chapter 7 presents conclusions and provides insights regarding prospective developments (including non;

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Numerical Methods and Optimization in Finance

pricing, and givesspecial attention tosimulation and optimization. Many chapters are organized as case studies aroundportfolio insurance and risk;

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The Use of Heuristics in Solving Non-Routine Problems in Algebra

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Optimized Packings with Applications

-standard container loading and object packing problems, as well as the stowing of hazardous and other materials on container ships, data centre;

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121 Heuristics for Solving Problems

to creative problem solving - the use of heuristics. The main purpose of an heuristic is to make problem solving more efficient, by making;

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Advances in Learning Automata and Intelligent Optimization

This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world;

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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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Optimization Heuristics In Econometrics

Global and combinatorial optimization heuristics are widely used in different areas ranging from engineering to operational research. The;

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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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Business Optimization Using Mathematical Programming

, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed;

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Soft Computing Techniques for Engineering Optimization

perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization;

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Soft Computing Techniques for Engineering Optimization

perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization;

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

convergence characteristics as well as their performance in solving large-scale unconstrained optimization problems and applications. Comparisons to;

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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

convergence characteristics as well as their performance in solving large-scale unconstrained optimization problems and applications. Comparisons to;

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Bayesian and High-Dimensional Global Optimization

, computer science, operations research, management science, engineering and other applied areas interested in solving optimization problems. Basic;

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Applied Optimization MATLAB Programming

Over the last few decades, optimization techniques have been streamlined by the use of computers and artificial intelligence methods to;

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Bioinspired Heuristics for Optimization

This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some;

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Supply Chain Intelligence: Application and Optimization

analysis, this interdisciplinary book features state-of-the-art descriptions of the corresponding problems and advanced methods for solving them.;

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Optimization

Choose the Correct Solution Method for Your Optimization Problem Optimization: Algorithms and Applications presents a variety;

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Global Optimization Using Interval Analysis

systems of nonlinear equations and global optimization problems. It expands and improves various aspects of its forerunner and features;

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Problem Solving in Mathematics Education

) the role played by the use of both multiple-purpose and ad hoc mathematical action types of technologies in problem-solving contexts - what;

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An Introduction to Polynomial and Semi-Algebraic Optimization

This is the first comprehensive introduction to the powerful moment approach for solving global optimization problems (and some related;

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Stochastic Global Optimization

global optimization is applicable to any type of problems having non-differentiable functions, discrete variables and/or continuous variables. It;

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Theory Of Randomized Search Heuristics

Randomized search heuristics such as evolutionary algorithms, genetic algorithms, evolution strategies, ant colony and particle swarm;

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Optimizing Engineering Problems through Heuristic Techniques

This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three;

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Optimizing Engineering Problems through Heuristic Techniques

This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three;

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On the Influence of Non-Perfect Randomness on Probabilistic Algorithms

probabilistic algorithms are examined on how they are influenced by random numbers that are not independent and uniformly distributed: A randomized;

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