Goodreads helps you keep track of books you want to read.
Start by marking “An Introduction to Genetic Algorithms” as Want to Read:
An Introduction to Genetic Algorithms
Enlarge cover
Rate this book
Clear rating
Open Preview

An Introduction to Genetic Algorithms

3.74  ·  Rating details ·  192 ratings  ·  9 reviews
"This is the best general book on Genetic Algorithms written to date. It covers background, history, and motivation; it selects important, informative examples of applications and discusses the use of Genetic Algorithms in scientific models; and it gives a good account of the status of the theory of Genetic Algorithms. Best of all the book presents its material in clear, ...more
Paperback, 221 pages
Published March 2nd 1998 by Bradford Book (first published 1996)
More Details... Edit Details

Friend Reviews

To see what your friends thought of this book, please sign up.

Reader Q&A

To ask other readers questions about An Introduction to Genetic Algorithms, please sign up.

Be the first to ask a question about An Introduction to Genetic Algorithms

Community Reviews

Showing 1-30
Average rating 3.74  · 
Rating details
 ·  192 ratings  ·  9 reviews

More filters
Sort order
Start your review of An Introduction to Genetic Algorithms
Oct 16, 2018 rated it really liked it
This is an introduction to genetic algorithms with case studies and a literature survey. It's 20 years old, so the survey is like a time capsule from the late 90s (I've no idea how much the GA world has moved on since then). But the introduction part is timeless, the exercises useful, and importantly the book is nice and short.
Sep 20, 2018 rated it it was amazing
good readable introduction or refresher
Suneel Madhekar
This is the first book I've read on GAs. The impression that it makes is that the field of Genetic Algorithms is nascent (or at least was, at the time of writing the book). I was hoping for solid insights into various issues related to GAs, like which problems are best suited for a GA based solution, how to design a GA for a given problem, how to choose the various primitives for a GA, and how to select various parameters... However, I could find none of that. All that I saw was heuristics, ...more
Simone Scardapane
Gran bella introduzione agli Algoritmi Genetici, buon bilanciamento fra esempi e teoria (due capitoli ciascuno). Inoltre, ottima parte finale con tutti i riferimenti per maggiori informazioni.
(PS: ormai un po' datato.)
Jun 14, 2009 rated it really liked it
A great intro to the subject.
Mar 30, 2014 rated it really liked it
Shelves: sabbatical_prep
Good intro to the topic. Still relevant after all these years, that is commendable.
Heba Mostafa
May 13, 2014 rated it liked it
selective reading was useful
Owen Lindsell
Jun 05, 2009 rated it it was amazing
The best book around on one of the most fascinating subjects around. Contains everything you need to know to start writing genetic algorithms.
Dawn Drain
Oct 12, 2015 rated it liked it
Genetic algorithms are very underwhelming. There should at least be a few captivating (nonbiological) examples, but this book presents very few successes.
Rachel Wheelock
rated it really liked it
Mar 21, 2017
Azeem Lakdawalla
rated it it was amazing
Jan 24, 2017
Bernadette Policarpio
rated it really liked it
May 11, 2018
Marko Puza
rated it really liked it
May 14, 2016
rated it really liked it
May 20, 2014
rated it did not like it
May 08, 2013
Bruno Roberto Búrigo
rated it really liked it
Apr 14, 2018
rated it really liked it
Jan 17, 2012
Patrick Mcknight
rated it it was amazing
Feb 02, 2016
Tuomas Salmi
rated it liked it
Dec 06, 2014
Brent Mashburn
rated it really liked it
May 23, 2014
rated it really liked it
May 26, 2015
Subhajit Das
rated it liked it
Dec 07, 2019
rated it really liked it
Nov 18, 2017
rated it really liked it
Dec 04, 2016
rated it liked it
Jul 11, 2014
rated it liked it
Nov 22, 2017
rated it liked it
Nov 22, 2014
rated it liked it
Aug 31, 2015
Gerall Kahla
rated it liked it
Apr 01, 2008
Brian Starke
rated it liked it
Aug 08, 2007
« previous 1 3 4 5 6 7 next »
There are no discussion topics on this book yet. Be the first to start one »

Readers also enjoyed

  • Free Will
  • Introdução à lógica
  • Existentialism For Dummies
  • Big Data: A Revolution That Will Transform How We Live, Work, and Think
  • The Society of Mind
  • Machine, Platform, Crowd: Harnessing Our Digital Future
  • The Problems of Philosophy
  • The Universe in a Nutshell
  • Preacher, Volume 3: Proud Americans
  • First Blood
  • Why Buddhism is True: The Science and Philosophy of Meditation and Enlightenment
  • Life 3.0: Being Human in the Age of Artificial Intelligence
  • Preacher, Volume 2: Until the End of the World
  • The Obstacle Is the Way: The Timeless Art of Turning Trials into Triumph
  • A Study in Scarlet
  • Ego Is the Enemy
  • The Player of Games (Culture, #2)
  • How to Change Your Mind: What the New Science of Psychedelics Teaches Us About Consciousness, Dying, Addiction, Depression, and Transcendence
See similar books…

Goodreads is hiring!

If you like books and love to build cool products, we may be looking for you.
Learn more »
Melanie Mitchell is a professor of computer science at Portland State University. She has worked at the Santa Fe Institute and Los Alamos National Laboratory. Her major work has been in the areas of analogical reasoning, complex systems, genetic algorithms and cellular automata, and her publications in those fields are frequently cited.

She received her PhD in 1990 from the University of Michigan