This routine implements the continuous simulated annealing global optimization algorithm described in Corana et al.'s article "Minimizing Multimodal Functions of Continuous Variables with the Simulated Annealing Algorithm" in the September 1987 (vol. 13, no. 3, pp. 262-280)issue of the ACM Transactions on Mathematical Software. In this example, it is applied to the Himmelblau's two variable constrained objective function viz. Minimize: F(x1,x2) =(x(1)*x(1)+x(2)-11.0)**2+(x(1)+x(2)*x(2)-7.0)**2 Subject to: g(1) = 4.84-x(1)*x(1)-((x(2)-2.5))**2 <= 0 g(2) = (x(1)-0.005)**2 + (x(2)-2.5)**2 - 4.84 <= 0 For 0 = x(1),x(2) = 6.0, g(1) & g(2) make nearly 99.3 % of the domain infeasible The optimum solution is x(1) = 2.246826 and x(2) = 2.381865 Optimal Function Value: 13.97492015230