New reflection generator for simulated annealing in mixed-integer/continuous global optimization

To reduce the well-known jamming problem in global optimization algorithms, we propose a new generator for the simulated annealing algorithm based on the idea of reflection. Furthermore, we give conditions under which the seq uence of points generated by this simulated annealing algorithm converges i n probability to the global optimum for mixed-integer/continuous global opt imization problems. Finally, we present numerical results on some artificia l test problems as well as on a composite structural design problem.