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Generalized Simulated Annealing for Function Optimization
Ihor O. Bohachevsky, Mark E. Johnson and Myron L. Stein
Vol. 28, No. 3 (Aug., 1986), pp. 209-217
Published by: Taylor & Francis, Ltd. on behalf of American Statistical Association and American Society for Quality
Stable URL: http://www.jstor.org/stable/1269076
Page Count: 9
You can always find the topics here!Topics: Simulated annealing, Objective functions, Extrema, Simulations, Mathematical minima, Annealing, Algorithms, Mathematical problems, Local minimum, Optimal solutions
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A generalized simulated annealing method has been developed and applied to the optimization of functions (possibly constrained) having many local extrema. The method is illustrated in some difficult pedagogical examples and used to solve a problem analyzed by Bates (Technometrics, 25, pp. 373-376, 1983), for which we identify an improved optimum. The sensitivity of the solution to changes in the constraints and in other specifications of the problem is analyzed and discussed
Technometrics © 1986 American Statistical Association