This is probably what you need - http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-00266-3
There are some options, including that proposed by Athanasios.
Moreover, I also suggest:
"Handbook of Metaheuristics" (Gendreau, Michel; Potvin, Jean-Yves (Eds.))
http://www.springer.com/business+%26+management/operations+research/book/978-1-4419-1663-1
and
E. Alba, Parallel Metaheuristics: A New Class of Algorithms, Wiley, ISBN 0-471-67806-6, July 2005
I recommend you the book "Metaheuristics: From Design to Implementation" by Talbi. This book is very practical and direct and it also explains Paradiseo library which you can use for developing metaheuristics in C++.
If you wanna use multiobjective metaheuristics, get Coello's one: Evolutionary Algorithms for Solving Multi-objective Problems.
How to Solve It: Modern Heuristics
By Zbigniew Michalewicz and David B. Fogel
http://www.springer.com/computer/theoretical+computer+scien/book/978-3-540-22494-5
I enjoyed the book
Yang, X.-S. 2010b. Nature-Inspired Metaheuristic Algorithm. 2nd edn. UK: Luniver
Press.
I suggest the book "metaheuristics
from design to implementation" of el ghazali talbi
I'd like to thank everyone for their suggestions. I've contacted my Wiley rep, and I'm expecting a copy of the Talbi book shortly.
I also recommend you this book. http://www.springer.com/computer/theoretical+computer+science/book/978-1-85233-804-6
It has a variety of heuristic techniques, with examples and in the author web page you can download the simulations.
It could be very useful.
As an aside, Springer was not cooperative in providing reference copies. I would definitely like to review the suggested Springer books, but the Talbi book looks just as promising and Wiley was much more cooperative.
I can also recommend Sean Luke's free book on meta heuristics at:
http://cs.gmu.edu/~sean/book/metaheuristics/
(Full disclosure: Sean and his wife are on my PhD committee.)
I know this discussion seems to have ended, but I am surprised that the book we use in my course in meta-heuristics (which I have been teaching for 10 years, though not with this book), is not in the recommendation:
Search Methodologies
Introductory Tutorials in Optimization and Decision Support Techniques Burke, Edmund K.; Kendall, Graham (Eds.)
In my opinion, many of the above books have a strong leaning towards population based methods. These are also covered in "Search Methodologies". This book is a collection of chapters by different authors. This can be problematic, but the authors are all excellent (Goldberg on Genetic algorithms, Koza on Genetic Programming, Deb on Multi-Objective optimization). It does not cover all meta-heuristics, but it certainly covers the most important ones in its 19 chapters, plus a couple of more classical Operations Research topics.
Two of the best books in my opinion are:
http://www.amazon.com/Intelligence-Morgan-Kaufmann-Evolutionary-Computation/dp/1558605959
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470278587.html
https://www.researchgate.net/publication/296636431_Codes_in_MATLAB_for_Particle_Swarm_Optimization
Code Codes in MATLAB for Particle Swarm Optimization
https://www.researchgate.net/publication/297245624_Particle_Swarm_Optimization_Algorithm_and_its_Codes_in_MATLAB
Research Particle Swarm Optimization: Algorithm and its Codes in MATLAB
- Badges
- Science topic
- Similar topics
- Engineering
- Computer Engineering
- Computer