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Introduction To Genetic Algorithms For Scientists And Engineers, An

This invaluable book has been designed to be useful to most practising scientists and engineers, whatever their field and however rusty;

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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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Genetic Design Automation

introduction and the basic concepts of molecular biology, the authors provide an overview of various genetic design automation tools. The authors then;

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Genetic Design Automation

introduction and the basic concepts of molecular biology, the authors provide an overview of various genetic design automation tools. The authors then;

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An Introduction To Genetic Algorithms

Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer;

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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 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 Electromagnetics

A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems Genetic Algorithms;

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Intro To Genetic Algorithms

exciting general purpose nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic;

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Blind Equalization in Neural Networks

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms;

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Introduction To Parallel Algorithms

. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting;

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Algorithms for Large Scale Linear Algebraic Systems:

An overview of the most successful algorithms and techniques for solving large, sparse systems of equations and some algorithms and;

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Introduction to Nature-Inspired Optimization

Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that;

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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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Data Clustering and Image Segmentation Through Genetic Algorithms

for IT professionals, computer engineers, researchers, academicians, and upper-level students seeking coverage on how to develop efficient;

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Scientific Computing

? Scientific Computing for Scientists and Engineers covers: An introduction to a wide range of numerical methods for linear systems, eigenvalue;

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Uncertainty Modeling and Analysis in Civil Engineering

of uncertainty modeling and analytical methods for civil engineering systems, presenting a toolbox for solving problems in real-world situations. Topics;

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Computational Lithography

systems, electric magnetic field principles, and fundamentals of optimization; it goes on to describe algorithms for the development of optimal;

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Biologically Inspired Algorithms for Financial Modelling

modelling, and for computer scientists who want an introduction to this growing application domain.;

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Genetic Algorithms And Engineering Optimization

, and genetic optimizations-and to show how GAs can be used to solve an array of constrained, combinatorial, multiobjective, and fuzzy;

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Model Predictive Control

-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights;

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Genetic Programming for Production Scheduling

This book introduces readers to an evolutionary learning approach, specifically genetic programming (GP), for production scheduling. The;

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Intelligent Systems for Engineers and Scientists

selection, planning, and control. The author provides sufficient detail to help you develop your own intelligent systems for real applications;

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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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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

designing and tuning these systems. You don't need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides;

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Soft Computing and Intelligent Systems

The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic;

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Numerical Methods For Engineers And Scientists: An Introduction With Applications Using Matlab

Following a unique approach, this innovative book integrates the learning of numerical methods with practicing computer programming and;

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