Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications / Edition 1

Hardcover (Print)
Buy New
Buy New from BN.com
Used and New from Other Sellers
Used and New from Other Sellers
from $233.23
Usually ships in 1-2 business days
(Save 28%)
Other sellers (Hardcover)
  • All (9) from $233.23   
  • New (7) from $233.23   
  • Used (2) from $438.07   


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 DNA, and digitalized algorithms inspired by the Darwinian framework of evolution by natural selection, Evolutionary Computing is one of the most important information technologies of our times. Evolutionary algorithms encompass all adaptive and computational models of natural evolutionary systems - genetic algorithms, evolution strategies, evolutionary programming and genetic programming. In addition, they work well in the search for global solutions to optimization problems, allowing the production of optimization software that is robust and easy to implement. Furthermore, these algorithms can easily be hybridized with traditional optimization techniques. This book presents state-of-the-art lectures delivered by international academic and industrial experts in the field of evolutionary computing. It bridges artificial intelligence and scientific computing with a particular emphasis on real-life problems encountered in application-oriented sectors, such as aerospace, electronics, telecommunications, energy and economics. This rapidly growing field, with its deep understanding and assesssment of complex problems in current practice, provides an effective, modern engineering tool. This book will therefore be of significant interest and value to all postgraduates, research scientists and practitioners facing complex optimization problems.

Read More Show Less

Product Details

  • ISBN-13: 9780471999027
  • Publisher: Wiley
  • Publication date: 6/29/1999
  • Edition number: 1
  • Pages: 500
  • Product dimensions: 9.21 (w) x 6.14 (h) x 1.13 (d)

Table of Contents


Using Genetic Algorithms for Optimization: Technology Transfer in Action (J. Haataja).

An Introduction to Evolutionary Computation and Some Applications (D. Fogel).

Evolutionary Computation: Recent Developments and Open Issues (K. De Jong).

Some Recent Important Foundational Results in Evolutionary Computation (D. Fogel). Evolutionary Algorithms for Engineering Applications (Z. Michalewicz, et al.).

Embedded Path Tracing and Neighbourhood Search Techniques (C. Reeves T. Yamada). Parallel and Distributed Evolutionary Algorithms (M. Tomassini).

Evolutionary Multi-Criterion Optimization (K. Deb).

ACO Algorithms for the Traveling Salesman Problem (T. Stützle M. Dorigo).

Genetic Programming: Turing's Third Way to Achieve Machine Intelligence (J. Koza, et al.).

Automatic Synthesis of the Topology and Sizing for Analog Electrical Circuits Using Genetic Programming (F. Bennett, et al.).


Multidisciplinary Hybrid Constrained GA Optimization (G. Dulikravich, et al.).

Genetic Algorithm as a Tool for Solving Electrical Engineering Problems (M. Rudnicki, et al.).

Genetic Algorithms in Shape Optimization: Finite and Boundary Element Applications (M. Cerrolaza W. Annicchiarico).

Genetic Algorithms and Fractals (E. Lutton).

Three Evolutionary Approaches to Clustering (H. Luchian).


Evolutionary Algorithms Applied to Academic and Industrial Test Cases (T. Bäck, et al.).

Optimization of an Active Noise Control System Inside an Aircraft, Based on the Simultaneous Optimal Positioning of Microphones and Speakers, with the Use of a Genetic Algorithm (Z. Diamantis, et al.).

Generator Scheduling in Power Systems by Genetic Algorithm and Expert System (B. Galvan, et al.).

Efficient Partitioning Methods for 3-D Unstructured Grids Using Genetic Algorithms (A. Giotis, et al.).

Genetic Algorithms in Shape Optimization of a Paper Machine Headbox (J. Hämäläinen, et al.).

A Parallel Genetic Algorithm for Multi-Objective Optimization in Computational Fluid Dynamics (N. Marco, et al.).

Application of a Multi Objective Genetic Algorithm and a Neural Network to the Optimisation of Foundry Processes (G. Meneghetti, et al.).

Circuit Partitioning Using Evolution Algorithms (J. Montiel-Nelson, et al.).

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)