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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

covers new algorithms and its applications, besides reviewing fundamental mathematical concepts and classical optimization methods. It also;

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Algorithms for Variable-Size Optimization

covers new algorithms and its applications, besides reviewing fundamental mathematical concepts and classical optimization methods. It also;

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent;

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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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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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Nature-Inspired Optimization Algorithms

mathematical foundations, techniques for solving discrete and combination optimization problems, data mining techniques and their links to optimization;

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Nature-Inspired Computation and Swarm Intelligence

intelligence. It reviews and documents the new developments, focusing on nature-inspired algorithms and their theoretical analysis, as well as;

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Advanced and Optimization Based Sliding Mode Control

particular emphasis on advanced and optimization based algorithms. The authors survey classical sliding mode control theory and introduce four new;

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Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspe

in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving;

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

of jazz musicians to seek the best harmony. The book consists of research articles on novel and newly proposed optimization algorithms; the;

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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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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid;

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Nature Inspired Metaheuristic Algorithms for Engineering Optimization Applicatio

problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge;

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Evolutionary Computation

- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;

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Evolutionary Computation

- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;

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Optimization Theory Based on Neutrosophic and Plithogenic Sets

theories and their applications in various optimization fields. Its table of contents covers new concepts, methods, algorithms, modelling, and;

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

mainly focuses on stochastic, evolutionary, and artificial intelligence optimization algorithms with a special emphasis on their design, analysis;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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Genetic and Evolutionary Methods

serves researchers, scholars, professionals, students, and academicians. Selected topics include: Simulated Annealing, Swarm Optimization;

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