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FPGA Task Arrangement with Genetic Algorithms

which efficiently utilize the FPGA area. A genetic algorithm is proposed searching for an arrangement of tasks offline, i.e. before the tasks;

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FPGA Algorithms and Applications for the Internet of Things

In the research area of computer science, practitioners are constantly searching for faster platforms with pertinent results. With;

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FPGA Implementation of LMMSE detector for MIMO OFDM System

such systems are portrayed with special emphasis on the LS, ZF & LMMSE detector. The core of a LMMSE detector requires matrix inversion, which;

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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 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 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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Cellular Genetic Algorithms

Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book with equal and parallel;

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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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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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Design for Embedded Image Processing on FPGAs

utilization of a parallel hardware design. The design process for implementing an image processing algorithm on an FPGA is compared with that for a;

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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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Hands-On Genetic Algorithms with Python

get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest;

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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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Design of GA-Fuzzy Controller for Magnetic Levitation Using FPGA

The design of controllers for non- linear systems in industry is a complex and difficult task. The development of non-linear control;

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Genetic Algorithms And Engineering Design

, presenting a comprehensive and fully up-to-date treatment of genetic algorithms in industrial engineering and operations research. Beginning with a;

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Application of FPGA to Real-Time Machine Learning

beyond what was achieved before. By interfacing a photonic reservoir computer with a high-speed electronic device (an FPGA), the author;

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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 Handbook of Genetic Algorithms

be taken with GAs. This volume differs from its predecessors by specifically concentrating on specific functions in genetic algorithms;

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Robust Control Systems with Genetic Algorithms

optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust;

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Robust Control Systems with Genetic Algorithms

optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust;

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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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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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Genetic Algorithms and Genetic Programming in Computational Finance

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance;

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Genetic Algorithms and Genetic Programming in Computational Finance

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance;

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Genetic Algorithms in Molecular Modeling

Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume;

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