© 1986 by Institute of Mathematics and its Applications
An Adaptive System for Global Optimization
Department of Computer Studies, Loughborough University of Technology
An experimental system for global optimization has been developed, which relies on an internal model of the objective function to represent its state of knowledge. A simple inference network is used to turn this into strategic decisions at each stage of optimization. The parameters of the inference network can be adapted by training the system on test functions, and this produces a significant improvement in the efficiency of the system.