Evolutionary Computation and Optimization Algorithms in Software Engineering Applications and Techniques

This book PDF is perfect for those who love Education genre, written by Chis, Monica and published by IGI Global which was released on 30 June 2010 with total hardcover pages 282. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Evolutionary Computation and Optimization Algorithms in Software Engineering Applications and Techniques books below.

Evolutionary Computation and Optimization Algorithms in Software Engineering Applications and Techniques
Evolutionary Computation and Optimization Algorithms in Software Engineering Applications and Techniques
Author : Chis, Monica
File Size : 43,8 Mb
Publisher : IGI Global
Language : English
Release Date : 30 June 2010
ISBN : 9781615208104
Pages : 282 pages
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Evolutionary Computation and Optimization Algorithms in Software Engineering Applications and Techniques by Chis, Monica Book PDF Summary

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects of software engineering such as software testing, quality assessment, reliability assessment, and fault prediction models, among others, to providing researchers, scholars and students with the knowledge needed to expand this burgeoning application.

Evolutionary Computation and Optimization Algorithms in Software Engineering Applications and Techniques

Evolutionary Computation and Optimization Algorithms in Software Engineering Applications and Techniques by Chis, Monica

Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques lays the foundation for the successful integration of evolutionary computation into software engineering. It surveys techniques ranging from genetic algorithms, to swarm optimization theory, to ant colony optimization, demonstrating their uses and capabilities. These techniques are applied to aspects

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Evolutionary Algorithms in Engineering Applications

Evolutionary Algorithms in Engineering Applications by Dipankar Dasgupta,Zbigniew Michalewicz

Evolutionary algorithms are general-purpose search procedures based on the mechanisms of natural selection and population genetics. They are appealing because they are simple, easy to interface, and easy to extend. This volume is concerned with applications of evolutionary algorithms and associated strategies in engineering. It will be useful for engineers,

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Advances in Evolutionary and Deterministic Methods for Design Optimization and Control in Engineering and Sciences

Advances in Evolutionary and Deterministic Methods for Design Optimization and Control in Engineering and Sciences by David Greiner,Blas Galván,Jacques Périaux,Nicolas Gauger,Kyriakos Giannakoglou,Gabriel Winter

This book contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Specialists have written each of the 34 chapters as extended versions of selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control

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Evolutionary Algorithms in Engineering and Computer Science

Evolutionary Algorithms in Engineering and Computer Science by K. Miettinen

Evolutionary Algorithms in Engineering and Computer Science Edited by K. Miettinen, University of Jyväskylä, Finland M. M. Mäkelä, University of Jyväskylä, Finland P. Neittaanmäki, University of Jyväskylä, Finland J. Périaux, Dassault Aviation, France What is Evolutionary Computing? Based on the genetic message encoded in

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Evolutionary Algorithms for Solving Multi Objective Problems

Evolutionary Algorithms for Solving Multi Objective Problems by Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a

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Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.

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"Industrial applications of evolutionary algorithms" is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques. Experienced users will find interesting details of real-world problems, advice on solving issues related to fitness computation or modeling, and suggestions on

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