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Practical Handbook of Genetic Algorithms

Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic;

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The Practical Handbook of Genetic Algorithms

, thoroughly updated second edition of The Practical Handbook of Genetic Algorithms. Like its predecessor, this edition helps practitioners stay up to;

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Practical Genetic Algorithms

This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and;

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Obstacle Avoidance In Multi-robot Systems, Experiments In Parallel Genetic Algorithms

robustness of genetic algorithms with the power of parallel computers, this book provides an effective and practical approach to solving path;

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Genetic Algorithms in Java Basics

Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions;

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Genetic Algorithms and Grouping Problems

A reader-friendly introduction to the exciting, vast potential of Genetic Algorithms. The book gives readers a general understanding of the;

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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical;

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Handbook Of Chemometrics And Qualimetrics

as neural networks, genetic algorithms and latent variable based methods.;

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Intro To Genetic Algorithms

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational;

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An Introduction To Genetic Algorithms

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational;

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Electromagnetic Optimization By Genetic Algorithms

Authoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic;

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Foundations of Genetic Algorithms 1991 (FOGA 1)

Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems;

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Genetic Algorithms in Molecular Modeling

availability, this book leads the reader from the theoretical aspects to the practical applications. It enables the uninitiated reader to apply genetic;

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Cellular Genetic Algorithms

Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic;

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Genetic Algorithms and Genetic Programming

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context;

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Genetic Algorithms and Genetic Programming

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context;

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Genetic Algorithms in Elixir

From finance to artificial intelligence, genetic algorithms are a powerful tool with a wide array of applications. But you don't need an;

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Genetic Algorithms for Pattern Recognition

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;

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Genetic Algorithms for Pattern Recognition

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;

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Genetic Algorithms with Python

Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello;

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Genetic and Evolutionary Methods

Genetic and Evolutionary Methods is a compendium of articles and papers that were presented at GEM '14, an international conference that;

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Evolutionary Computation 1

paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, and genetic programming. It is intended to be used by;

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Evolutionary Computation 1

paradigms of evolutionary algorithms, evolution strategies, evolutionary programming, and genetic programming. It is intended to be used by;

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Hands-On Genetic Algorithms with Python

Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning;

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Evolutionary Programming IV

academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other;

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Genetic Algorithms And Engineering Design

The last few years have seen important advances in the use of genetic algorithms to address challenging optimization problems in industrial;

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Genetic Algorithms

The aim of this book is to present state-of-the-art information regarding the practical applications of genetic algorithms. It discusses;

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