Issue No. 09 - September (1974 vol. 23)
K.K. Burhardt , 3M Company
A very fast nongradient procedure for function optimization is described. The procedure is based on the ideas of Rosenbrock  and Swann . These were modified and refined to obtain an algorithm which provides an optimum with a very small number of function evaluations. This algorithm, compared with recently reported algorithms by Lawrence and Steglitz (L-S) , and Beltrami and Indusi (B-I) , appears to be very robust and reliable. Constrained optimization problems can be handled and a special method for handling optimization with linear constraints is presented.
Adaptive algorithms, mathematical programming, optimization.
K. Burhardt, "An Adaptive Search Optimization Algorithm," in IEEE Transactions on Computers, vol. 23, no. , pp. 890-897, 1974.