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

There are many good options. If you want to have a wide overview and a good understanding of which heuristic use depending on the fitness landscape then my recommendation would be also the book from Talbi, Metaheuristics: From Design to Implementation"

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 also recommend Sean Luke's book. It is very easy to read.

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.

Http://www.springer.com/computer/ai/book/978-3-540-72959-4

?

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