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MM Optimization Algorithms

Offers an overview of the MM principle, a device for deriving optimization algorithms satisfying the ascent or descent property. These;

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Sheet Metal Forming Optimization

of very thin sheet metal, 0.8 to 1.2 mm. It is imperative to study the effect of all involved parameters on output of this type of manufacturing;

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Sheet Metal Forming Optimization

of very thin sheet metal, 0.8 to 1.2 mm. It is imperative to study the effect of all involved parameters on output of this type of manufacturing;

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Proceedings of 6th International Conference on Harmony Search Soft Computing an

This book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Sixth International;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

Classical and Evolutionary Algorithms in the Optimization of Optical Systems presents research results in the field of classical and;

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New Optimization Algorithms and their Applications

New Optimization Algorithms and Applications: Atom-Based, Ecosystem-Based and Economics-Based presents the development of three new;

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Algorithms for Variable-Size Optimization

Many systems architecture optimization problems are characterized by a variable number of optimization variables. Many classical;

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Algorithms for Variable-Size Optimization

Many systems architecture optimization problems are characterized by a variable number of optimization variables. Many classical;

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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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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

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on;

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Accelerated Optimization for Machine Learning

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on;

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Advances in Swarm Intelligence

; theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field;

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New Optimization Algorithms in Physics

Many physicists are not aware of the fact that they can solve their problems by applying optimization algorithms. Since the number of such;

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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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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta;

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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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Mathematical Foundations of Nature-Inspired Algorithms

This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and;

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Engineering Optimization

Modern optimization techniques are widely applicable to many applications, and metaheuristics form a class of emerging powerful algorithms;

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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an;

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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an;

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Advances in Swarm and Computational Intelligence

-based optimization algorithms and applications; particle swarm opt8imization; ant colony optimization; artificial bee colony algorithms;

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