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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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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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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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Hands-On Genetic Algorithms with Python

developments in artificial intelligence. After introducing you to genetic algorithms and their principles of operation, you'll understand how they;

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Genetic Algorithms in Java Basics

problems and with this book you too can harness their problem solving capabilities. Understanding how to utilize and implement genetic algorithms;

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Genetic Algorithms and their Applications

First Published in 1987. Routledge is an imprint of Taylor and Francis, an informa company.;

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Genetic Algorithms for Pattern Recognition

method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for;

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Genetic Algorithms for Pattern Recognition

method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for;

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Genetic Algorithms in Elixir

an in-depth look at the algorithms, techniques, and methods that go into writing a genetic algorithm. From introductory problems to real;

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The Practical Handbook of Genetic Algorithms

date on recent developments in the field and provides material they can use productively in their own endeavors. For this edition, the;

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Genetic Algorithms and their Applications

First Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.;...

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Intro To Genetic Algorithms

enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting;

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An Introduction To Genetic Algorithms

enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting;

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Proceedings of the First International Conference on Genetic Algorithms and their Applications

Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large;

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Robust Control Systems with Genetic Algorithms

most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;

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Robust Control Systems with Genetic Algorithms

most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;

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Electromagnetic Optimization By Genetic Algorithms

search procedures modeled on the Darwinian concepts of natural selection and evolution. The machinery of genetic algorithms utilizes an;

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Evolutionary Programming IV

methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms. Topics;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Genetic Algorithms And Engineering Design

engineering. Genetic Algorithms and Engineering Design is the only book to cover the most recent technologies and their application to manufacturing;

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

of the attractive features of genetic algorithms is their ability to solve formidable problems in a robust and straightforward manner. Moreover;

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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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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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Genetic Algorithms in Molecular Modeling

solving numerous problems in QSAR and drug designWritten to be accessible without prior direct experience in genetic algorithms;

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