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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Algorithms for Convex Optimization

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous;

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Algorithms for Convex Optimization

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous;

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Evolutionary Algorithms

operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are;

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An Introduction to Continuous Optimization: Foundations and Fundamental Algorithms, Third Edition

. The book's main focus is on providing a basis for the analysis of optimization models and of candidate optimal solutions, especially for;

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Algorithms for Continuous Optimization

. Solving continuous optimization problems is a fundamental task in computational mathematics for applications in areas of engineering, economics;

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A Brief Introduction to Continuous Evolutionary Optimization

problem is available except via function evaluations. This work introduces a collection of heuristics and algorithms for black box optimization;

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A First Course in Optimization

Give Your Students the Proper Groundwork for Future Studies in Optimization A First Course in Optimization is designed for a one;

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A Mathematical View of Interior-point Methods in Convex Optimization

optimization problems. The study of these algorithms has dominated the continuous optimization literature for nearly 15 years. In that time, the theory;

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Genetic Algorithms in Electromagnetics

materials* Ideas on operator and parameter selection for a GA* Detailed explanations of particle swarm optimization and multiple objective;

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Applied Evolutionary Algorithms for Engineers using Python

sound starting point for those intending to apply evolutionary algorithms to optimization problems in their working fields. Python has been;

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Particle Swarm Optimization

This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary;

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Global Optimization

, developments and applications of global optimisation including: particle swarm optimisation with re-initialisation strategies for continuous global;

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Discrete Convex Analysis

Discrete Convex Analysis is a novel paradigm for discrete optimization that combines the ideas in continuous optimization (convex analysis;

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General-Purpose Optimization Through Information Maximization

introduction to the broader field of analysis that comes from developing a shared mathematical space for optimization algorithms. The author brings;

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General-Purpose Optimization Through Information Maximization

introduction to the broader field of analysis that comes from developing a shared mathematical space for optimization algorithms. The author brings;

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Partitional Clustering via Nonsmooth Optimization

implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering;

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Partitional Clustering via Nonsmooth Optimization

implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering;

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Modeling and Optimization: Theory and Applications

of researchers and practitioners working on both theoretical and practical aspects of continuous and discrete optimization. Topics covered include;

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Algorithms for Variable-Size Optimization

optimization algorithms are not suitable for such problems. The book presents recently developed optimization concepts that are designed to solve such;

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Algorithms for Variable-Size Optimization

optimization algorithms are not suitable for such problems. The book presents recently developed optimization concepts that are designed to solve such;

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New Optimization Algorithms and their Applications

>Presents three novel optimization algorithms for engineering Gives various applications and design examples for each algorithm

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

the implementation of the classical and evolutionary algorithms in the program for the optimization of optical systems. Every chapter in this;

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Accelerated Optimization for Machine Learning

of first-order optimization algorithms is crucial for the efficiency of machine learning. Written by leading experts in the field, this book;

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Accelerated Optimization for Machine Learning

of first-order optimization algorithms is crucial for the efficiency of machine learning. Written by leading experts in the field, this book;

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Evolutionary Constrained Optimization

evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based;

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