This blog is an attempt to publish thoughts about metaheuristics and to share them with others. Indeed, blogs are fun, blogs are popular, ok... but most of all, blogs can be very usefull for researchers, that constently need to communicate, share ideas and informations.

Metaheuristics are (well, that's one definition among others, but in my opinion the better one) iterative (stochastic) algorithms for "hard" optimization. Well known metaheuristics are the so-called "genetic algorithms" (lets call them evolutionary ones), but these are not the only class: dont forget simulated annealing, tabu search, ant colony algorithms, estimation of distribution, etc.

This blog will try to focuse on the theory, the design, the understanding, the application, the implementation and the use of metaheuristics. I hope this blog will be profitable to other peoples (researchers as well as users), and will be a place to share thoughts.

Welcome aboard, and lets sleep with metaheuristics.