Metaheuristics and experimental research
Thomas Bartz-Beielstein is working on the statistical analysis of the behaviour of metaheuristics (see its tutorials at GECCO and CEC), and the publication of its book is a really great thing. I haven't read it yet, but the table of content seems really promising. There is a true need for such work in the metaheuristics community, and in stochastic optimization in general.
A friend said to me that the lack of experimental culture in the computer science community was a form of consensus, perhaps because theoretical aspects of mathematics was the "only way to make true science". This is a true problem when you deal with stochastic algorithm, applied to real world problem. Despite the fact that several papers early call for more rigourous experimental studies of metaheuristcs (E.D. Taillard has written papers on this problem several years ago, for example), the community does not seems to quickly react.
Yet, things are changing, after the series of CEC special sessions on benchmark for metaheuristics, there is more and more papers on how to test stochastic optimization algorithms and outline the results. I think this book is coming timely... the next step will be to promote the dissemination of the results data (and code!), in an open format, along with the papers.