Since its introduction as a generic heuristic for discrete optimisation in 1983, simulated annealing has become a popular tool for tackling both discrete and continuous problems across a broad range of application areas. This chapter provides an overview of the technique with the emphasis being on the use of simulated annealing in the solution of practical problems. A detailed statement of the algorithm is given, together with an explanation of its inspiration from the field of statistical thermodynamics. This is followed by a brief overview of the theory with emphasis on those results that are important to the decisions that need to be made for a practical implementation. It then goes on to look at some of the ways in which the basic algor...