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Principles in Noisy Optimization
of evolutionary optimization, the book subsequently explores the principles of noisy optimization in single and multi-objective settings, and presents;
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Swarm Intelligence Based Optimization
discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems, particle;
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Computational Optimization and Applications
optimization tasks. These problems are frequently characterized by non-convex, non-differentiable, discontinuous, noisy or dynamic objective functions;
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Iterative Hillclimbing Optimization Techniques
This book is a reproduction of my thesis work. An iterative hillclimbing optimization technique was introduced in this thesis. It was used;
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Optimization Principles
of these increasingly relied upon techniques. Making those techniques readily accessible is the hallmark of Optimization Principles: Practical;
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Swarm Intelligence Methods for Statistical Regression
to noisy data in order to capture meaningful patterns. This can often result in challenging non-linear and non-convex global optimization;
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Swarm Intelligence Methods for Statistical Regression
to noisy data in order to capture meaningful patterns. This can often result in challenging non-linear and non-convex global optimization;
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The Quiet Woman and the Noisy Dog
In a quiet house in a noisy town, lived a quiet woman and a noisy dog. On the other side of the noisy town lived a noisy woman, with her;
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Practical Mathematical Optimization
This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It;
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Practical Mathematical Optimization
This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form;
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Evolutionary Computation in Combinatorial Optimization
This book constitutes the refereed proceedings of the 16th European Conference on Evolutionary Computation in Combinatorial Optimization;
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Security With Noisy Data
Noisy data appear very naturally in applications where the authentication is based on physical identifiers. This book provides a self;
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LTE Optimization Engineering Handbook
A thorough and complete examination of LTE networks, their operating principles and key insights to performance optimization. * A complete;
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The Quiet Woman and the Noisy Dog
Whimsical illustrations and onomatopoeic text combine in the story of a quiet woman and her noisy canine companion who meet a noisy woman;
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The Powerful Purpose of Introverts - Why the World Needs You to Be You
Bestselling author, counselor, and life coach uses brain science, powerful stories, research, and biblical principles to help introverts;
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Convex Optimization
This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems;
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Optimization by Vector Space Methods
to solve complex problems. Unifies the large field of optimization with a few geometric principles. Covers functional analysis with a minimum;
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Engineering Optimization
Practice is the comprehensive book that covers the new and recent methods of optimization and reviews the principles and applications.;
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Mathematical Theories of Machine Learning - Theory and Applications
step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose;
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Adjoint Topology Optimization Theory for Nano-Optics
The book focuses on the topology optimization method for nano-optics. Both principles and implementing practice have been addressed, with;
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Principles of Modern Digital Design
A major objective of this book is to fill the gap between traditional logic design principles and logic designoptimization techniques used;
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Modeling, Solving and Application for Topology Optimization of Continuum Structures
Modelling, Solving and Applications for Topology Optimization of Continuum Structures: ICM Method Based on Step Function provides an;
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Nonlinear Analysis and Variational Problems
renowned mathematician. These contributions focus on recent developments in complementarity theory, variational principles, stability theory;
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