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Fundamentals of Optimization Techniques with Algorithms

, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various;

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Optimization Techniques and Applications with Examples

intelligence, engineering, and computer sciences Optimization Techniques and Applications with Examples introduces the fundamentals of all the;

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Optimization for Data Analysis

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic;

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Computational Lithography

This is the first book to address the optimization of resolution enhancement techniques in optical lithography. It provides an in-depth;

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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

and evolutionary algorithms in the optimization of optical systems. Part II is dedicated to optical design fundamentals. Part III deals with;

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Nature-Inspired Optimization Algorithms

literature with case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated;

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Soft Computing: Fundamentals and Applications

of some specialized GAs are then discussed with some appropriate examples. The working principles of some other non-traditional optimization tools;

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Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems

optimization techniques to controller tuning are explained. Case studies of optimization algorithms applied to controller tuning dealing with;

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Evolutionary Algorithms and Neural Networks

This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At;

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Nature-Inspired Optimization Algorithms

inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner;

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Nature-Inspired Optimization Algorithms

inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner;

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Optimization Principles

techniques, Optimization Principles puts you on the same footing with algorithm-savvy software developers. Starting with a helpful look at matrix;

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Optimization Techniques for Solving Complex Problems

.?Optimization Techniques for Solving Complex Problems is a valuable resource for practitioners and researchers who work with optimization in real-world;

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Nature-Inspired Optimization Algorithms

superior in performance. Nature has a rich abundance of flora and fauna that inspired the development of nature inspired optimization techniques;

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Applications of Artificial Intelligence Techniques in the Petroleum Industry

Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand;

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Adaptive Stochastic Optimization Techniques with Applications

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on;

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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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Brain Storm Optimization Algorithms

only offer an optimization method, but could also be viewed as a framework of optimization techniques. The process employed in the algorithms;

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Brain Storm Optimization Algorithms

only offer an optimization method, but could also be viewed as a framework of optimization techniques. The process employed in the algorithms;

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Extremal Optimization

with a general review of real-world optimization problems and popular solutions with a focus on computational complexity, such as NP-hard and;

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Fundamentals of Computational Swarm Intelligence

how they can be used in solving optimization problems. Focusing on the algorithmic implementation of models of swarm behavior, this book;

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Optimization in Food Engineering

models can make their dynamic optimization a daunting task. With contributions from a virtual who's who in the food processing industry;

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Optimization in Engineering

techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving;

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Bio-Inspired Algorithms in PID Controller Optimization

This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms;

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Bio-Inspired Algorithms in PID Controller Optimization

This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms;

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