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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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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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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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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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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering;

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Nature-Inspired Optimization Algorithms

-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for;

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Nature-Inspired Optimization Algorithms

-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for;

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Multimodal Optimization by Means of Evolutionary Algorithms

This book offers the first comprehensive taxonomy for multimodal optimization algorithms, work with its root in topics such as niching;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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Engineering Optimization

for optimization. This book introduces state-of-the-art metaheuristic algorithms and their applications in optimization, using both MATLAB(R;

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Mathematical Foundations of Nature-Inspired Algorithms

of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different;

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Nature-Inspired Metaheuristic Algorithms

optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms;

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Distributed Optimization Advances in Theories Methods and Applications

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students;

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Distributed Optimization Advances in Theories Methods and Applications

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students;

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Advances in Swarm Intelligence, Part I

. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization;

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Optimization Algorithms for Networks and Graphs

A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be;

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Optimization Algorithms for Networks and Graphs

A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be;

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Electromagnetic Optimization By Genetic Algorithms

250 illustrations, Electromagnetic Optimization by Genetic Algorithms is a powerful resource for electrical engineers interested in modern;

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Design and Optimization for 5G Wireless Communications

for wireless and 5G communication systems design. The book introduces the design and optimization systems which target capacity, latency, and;

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