Simulated Annealing
Simulated Annealing methods work on the basis of a thermodynamical analogy: the slow cooling of a heated system let it settle down in a configuration of minimum energy. Out of the metaphor it means that the optimum is reached.
SA is based on the Simulated Annealing strategy to solve single-objective optimization problems: it uses a modification of the downhill SIMPLEX method. Thermal fluctuations are introduced in order to increase the algorithm's robustness.
MOSA stands for Multiobjective Simulated Annealing. It works with the concept of a population of points moving towards the set of solutions. The thrust is given by thermal perturbation, driven by a genuine multiobjective search. The hot phase and cold one balance between robustness and convergence.