Computational Intelligence: An Introduction / Edition 2

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $67.72
Usually ships in 1-2 business days
(Save 38%)
Other sellers (Hardcover)
  • All (6) from $67.72   
  • New (1) from $117.32   
  • Used (5) from $67.72   


Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation.

Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without any difficulty through a single Java class as part of the CI library.

Key features of this second edition include:

  • A tutorial, hands-on based presentation of the material.
  • State-of-the-art coverage of the most recent developments in computational intelligence with more elaborate discussions on intelligence and artificial intelligence (AI).
  • New discussion of Darwinian evolution versus Lamarckian evolution, also including swarm robotics, hybrid systems and artificial immune systems.
  • A section on how to perform empirical studies; topics including statistical analysis of stochastic algorithms, and an open source library of CI algorithms.
  • Tables, illustrations, graphs, examples, assignments, Java code implementing the algorithms, and a complete CI implementation and experimental framework.

Computational Intelligence: An Introduction, Second Edition is essential reading for third and fourth year undergraduate and postgraduate students studying CI. The first edition has been prescribed by a number of overseas universities and is thus a valuable teaching tool. In addition, it will also be a useful resource for researchers in Computational Intelligence and Artificial Intelligence, as well as engineers, statisticians, operational researchers, and bioinformaticians with an interest in applying AI or CI to solve problems in their domains.

 Check out for examples, assignments and Java code implementing the algorithms.

Read More Show Less

Editorial Reviews

From the Publisher
"...a wonderful book on many of the 'hot topics'...a fascinating read for anyone studying computational intelligence..." (Measurement and Control, Vol 37(5), June 2004)
Read More Show Less

Product Details

  • ISBN-13: 9780470035610
  • Publisher: Wiley
  • Publication date: 11/16/2007
  • Edition description: New Edition
  • Edition number: 2
  • Pages: 628
  • Sales rank: 941,538
  • Product dimensions: 6.95 (w) x 9.90 (h) x 1.56 (d)

Table of Contents






1 Introduction to Computational Intelligence.

1.1 Computational Intelligence Paradigms.

1.2 Short History.

1.3 Assignments.


2 The Artificial Neuron.

2.1 Calculating the Net Input Signal.

2.2 Activation Functions.

2.3 Artificial Neuron Geometry.

2.4 Artificial Neuron Learning.

2.5 Assignments.

3 Supervised Learning Neural Networks.

3.1 Neural Network Types.

3.2 Supervised Learning Rules.

3.3 Functioning of Hidden Units.

3.4 Ensemble Neural Networks.

3.5 Assignments.

4 Unsupervised Learning Neural Networks.

4.1 Background.

4.2 Hebbian Learning Rule.

4.3 Principal Component Learning Rule.

4.4 Learning Vector Quantizer-I.

4.5 Self-Organizing Feature Maps.

4.6 Assignments.

5 Radial Basis Function Networks.

5.1 Learning Vector Quantizer-II.

5.2 Radial Basis Function Neural Networks.

5.3 Assignments.

6 Reinforcement Learning.

6.1 Learning through Awards.

6.2 Model-Free Reinforcement LearningModel.

6.3 Neural Networks and Reinforcement Learning.

6.4 Assignments.

7 Performance Issues (Supervised Learning).

7.1 PerformanceMeasures.

7.2 Analysis of Performance.

7.3 Performance Factors.

7.4 Assignments.


8 Introduction to Evolutionary Computation.

8.1 Generic Evolutionary Algorithm.

8.2 Representation – The Chromosome.

8.3 Initial Population.

8.4 Fitness Function.

8.5 Selection.

8.6 Reproduction Operators.

8.7 Stopping Conditions.

8.8 Evolutionary Computation versus Classical Optimization.

8.9 Assignments.

9 Genetic Algorithms.

9.1 Canonical Genetic Algorithm.

9.2 Crossover.

9.3 Mutation.

9.4 Control Parameters.

9.5 Genetic Algorithm Variants.

9.6 Advanced Topics.

9.7 Applications.

9.8 Assignments.

10 Genetic Programming.

10.1 Tree-Based Representation.

10.2 Initial Population.

10.3 Fitness Function.

10.4 Crossover Operators.

10.5 Mutation Operators.

10.6 Building Block Genetic Programming.

10.7 Applications.

10.8 Assignments.

11 Evolutionary Programming.

11.1 Basic Evolutionary Programming.

11.2 Evolutionary Programming Operators.

11.3 Strategy Parameters.

11.4 Evolutionary Programming Implementations.

11.5 Advanced Topics.

11.6 Applications.

11.7 Assignments.

12 Evolution Strategies.

12.1 (1+1)-ES.

12.2 Generic Evolution Strategy Algorithm.

12.3 Strategy Parameters and Self-Adaptation.

12.4 Evolution Strategy Operators.

12.5 Evolution Strategy Variants.

12.6 Advanced Topics.

12.7 Applications of Evolution Strategies.

12.8 Assignments.

13 Differential Evolution.

13.1 Basic Differential Evolution.

13.2 DE/x/y/z.

13.3 Variations to Basic Differential Evolution.

13.4 Differential Evolution for Discrete-Valued Problems.

13.5 Advanced Topics.

13.6 Applications.

13.7 Assignments.

14 Cultural Algorithms.

14.1 Culture and Artificial Culture.

14.2 Basic Cultural Algorithm.

14.3 Belief Space.

14.4 Fuzzy Cultural Algorithm.

14.5 Advanced Topics.

14.6 Applications.

14.7 Assignments.

15 Coevolution.

15.1 Coevolution Types.

15.2 Competitive Coevolution.

15.3 Cooperative Coevolution.

15.4 Assignments.


16 Particle Swarm Optimization.

16.1 Basic Particle Swarm Optimization.

16.2 Social Network Structures.

16.3 Basic Variations.

16.4 Basic PSO Parameters.

16.5 Single-Solution Particle SwarmOptimization.

16.6 Advanced Topics.

16.7 Applications.

16.8 Assignments.

17 Ant Algorithms.

17.1 Ant Colony OptimizationMeta-Heuristic.

17.2 Cemetery Organization and Brood Care.

17.3 Division of Labor.

17.4 Advanced Topics.

17.5 Applications.

17.6 Assignments.


18 Natural Immune System.

18.1 Classical View.

18.2 Antibodies and Antigens.

18.3 TheWhite Cells.

18.4 Immunity Types.

18.5 Learning the Antigen Structure.

18.6 The Network Theory.

18.7 The Danger Theory.

18.8 Assignments.

19 Artificial Immune Models.

19.1 Artificial Immune System Algorithm.

19.2 Classical ViewModels.

19.3 Clonal Selection TheoryModels.

19.4 Network TheoryModels.

19.5 Danger TheoryModels.

19.6 Applications and Other AIS models.

19.7 Assignments.


20 Fuzzy Sets.

20.1 Formal Definitions.

20.2 Membership Functions.

20.3 Fuzzy Operators.

20.4 Fuzzy Set Characteristics.

20.5 Fuzziness and Probability.

20.6 Assignments.

21 Fuzzy Logic and Reasoning.

21.1 Fuzzy Logic.

21.2 Fuzzy Inferencing.

21.3 Assignments.

22 Fuzzy Controllers.

22.1 Components of Fuzzy Controllers.

22.2 Fuzzy Controller Types.

22.3 Assignments.

23 Rough Sets.

23.1 Concept of Discernibility.

23.2 Vagueness in Rough Sets.

23.3 Uncertainty in Rough Sets.

23.4 Assignments.


A Optimization Theory.

A.1 Basic Ingredients of Optimization Problems.

A.2 Optimization ProblemClassifications.

A.3 Optima Types.

A.4 OptimizationMethod Classes.

A.5 Unconstrained Optimization.

A.6 Constrained Optimization.

A.7 Multi-Solution Problems.

A.8 Multi-Objective Optimization.

A.9 Dynamic Optimization Problems.


Read More Show Less

Customer Reviews

Average Rating 5
( 1 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & 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 & 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 & 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 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 & and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Terms of Use.
  • - Barnes & reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & 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 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
Sort by: Showing 1 Customer Reviews
  • Posted June 19, 2013

    I¿m loving McDonalds for fast food... MyDeals247 for the best de

    I’m loving McDonalds for fast food... MyDeals247 for the best deals;))

    Was this review helpful? Yes  No   Report this review
Sort by: Showing 1 Customer Reviews

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