Dear Fernández,

I have studied Neural Networks and Fuzzy Logic (C. Naga Bhaskar and G. Vijay Kumar , BS Publications, 2011), a combination context on neural networks and fuzzy logic. I think  it can be useful for you according to the background you mentioned here.

Dear Fernández,

I have studied Neural Networks and Fuzzy Logic (C. Naga Bhaskar and G. Vijay Kumar , BS Publications, 2011), a combination context on neural networks and fuzzy logic. I think  it can be useful for you according to the background you mentioned here.

For fuzzy logic I recommend to study initial works of L. Zadeh, as well as great practical book of authors from Japan «Applied Fuzzy Systems» (I'm not sure how the title was translated from Japanese into English) — Terano T., Asai K. and Sugeno M.

Here is it: https://www.researchgate.net/publication/264913479_Applied_fuzzy_systems_Transl_from_the_Japanese_and_with_a_preface_by_Yu_N_Chernyshov_Prikladnye_nechetkie_sistemy

Article Applied fuzzy systems. Transl. from the Japanese and with a ...

Dear José Raúl Machado Fernández

I attached some paper related to different varieties of neural network. This study also focus on application of GA, PSO, CSA to compute the optimal weight of neural network.

https://www.researchgate.net/publication/299328355_Hybrid_functional_link_artificial_neural_network_approach_for_predicting_maintainability_of_object-oriented_software

https://www.researchgate.net/publication/283185814_Validating_the_Effectiveness_of_Object-Oriented_Metrics_for_Predicting_Maintainability

https://www.researchgate.net/publication/283723707_Predicting_Object-Oriented_Software_Maintainability_using_Hybrid_Neural_Network_with_Parallel_Computing_Concept

https://www.researchgate.net/publication/282267465_Neuro_-_Genetic_Approach_for_Predicting_Maintainability_Using_Chidamber_and_Kemerer_Software_Metrics_Suite

Article Hybrid functional link artificial neural network approach fo...

Article Validating the Effectiveness of Object-Oriented Metrics for ...

Conference Paper Predicting Object-Oriented Software Maintainability using Hy...

Article Neuro – Genetic Approach for Predicting Maintainability Usin...

 These are very good ones for Fuzzy Logic and Genetic Algorithms:

My favourite book on genetic algorithms is also "Introduction to Evolutionary Computing", Eiben, A. E. and Smith, J. E.

http://www.springer.com/us/book/9783642072857

Dear Fernandez,

A good source for AI techniques:

Lecture Notes in Artificial Intelligence 6408

Edited by R. Goebel, J. Siekmann, and W.Wahlster

Best,

ismat

"Design of Logic-based Intelligent Systems" - http://it-ebooks.info/book/2891/

For a simple and practical introduction to Genetic Algorithms, take a look at Shiffman's "Nature of Code".

http://natureofcode.com/book/chapter-9-the-evolution-of-code/

Check:

Handbook of Memetic Algorithms (F. Neri, C. Cotta, P. Moscato), Studies in Computational Intelligence, Vol. 379, Springer-Verlag, Berlin Heidelberg, 2012 

It features introductory chapters on local search, evolutionary algorithms and memetic algorithms, as well as advanced chapters on algorithmic design, combinatorial optimization, multiobjective optimization, applications, etc.

http://dx.doi.org/10.1007/978-3-642-23247-3

Dear José Raúl Machado Fernández,

For fuzzy logic, I like these  two books.

Ross, T. J. (2009). Fuzzy Logic with Engineering Applications: Wiley.

Sivanandam, S. N., Sumathi, S., & Deepa, S. N. (2006). Introduction to Fuzzy Logic using MATLAB: Springer.

Best regards,

BAN

http://www.springer.com/us/book/9783540357803

http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470860758.html

Dear Fernandez,

pay attention for

Authors: Michalewicz Zbigniew, Fogel David B.  (about all main artificial intelligence techniques, inc. Fuzzy Logic, Genetic Algorithms and  Neural Networks)

Classical lecture is Goldberg, D. E.: Genetic Algorithms in Search, Optimization, and Machine Learning. But is it a bit obsolete.

Best regards

Maciej Karczyński

Two good books for single objective GA

R. L. Haupt and S. E. Haupt, Practical Genetic Algorithms: Wiley, 2004.

Sivanandam, S. N., & Deepa, S. N. (2007). Introduction to genetic algorithms. Springer Science & Business Media.

And this one for multi-objective GA

Deb, K. (2001). Multi-objective optimization using evolutionary algorithms (Vol. 16). John Wiley & Sons.

If you want a very practical book, about how to use metaheuristics (including genetic algorithms) in the R tool (open source), then I advise this book:

Modern Optimization with R, Use R! series, Springer, 2014,

http://www.springer.com/mathematics/book/978-3-319-08262-2

http://www.springer.com/mathematics/book/978-3-319-08262-2

Dear Fernandez,

This book is really good , it would help you.

https://www.researchgate.net/deref/http%3A%2F%2Feu.wiley.com%2FWileyCDA%2FWileyTitle%2FproductCd-0470860758.html

Try this "Soft Computing: Neuro-Fuzzy and Genetic Algorithms " - Samir Roy, Udit Chakraborty, Pearson

Knowledge-Based Neurocomputing: A Fuzzy Logic Approach [1 ed.]

Eyal Kolman, Michael Margaliot

A good way to understand genetic algorithm is watching MIT video in youtube. I strongly suggest it.

Chapter 6 of my book "Einführung in die Theorie der kognitiven Kommunikation" deals with fuzzy sets and neural networks. The book, however, is written in German language. Parts of the text you may find when you type the title in Google.

This book is an excellent for a beginner. 

Ross, T. J. (2009). Fuzzy Logic with Engineering Applications: Wiley.

If you want to learn about a wide range AI techniques and not only fuzzy and genetic approaches then I would recommend you the book "Artificial Intelligence: A Modren Approach" by Russell and Norvig

Please have a look at the textbook by Rajasekaran and Vijayalaxmi Pai.

With Regards

Ashu

You can find information at the book HANDBOOK OF METAHEURISTICS 2ed. (http://link.springer.com/book/10.1007%2F978-1-4419-1665-5)

Regards

check a chapter in this book:

https://books.google.co.in/books?id=Tj8r3A-0dZkC&printsec=frontcover&dq=knowledge+based+systems&hl=en&sa=X&ved=0ahUKEwj8mtSjtePNAhXKP48KHUsoDlIQ6AEIGzAA