Dynamic control of the browsing-exploitation ratio for iterative optimisations

Abstract

A new iterative optimisation method based on an evolutionary strategy. The algorithm is proposed, which proceeds on a binary search space, combines a Genetic Algorithm and a knowledge extraction engine that is used to monitor the optimisation process. In addition of the boosted convergence to the optima in a fixed number of iterations, this method enables to generate knowledge as association rules. The new algorithm is applied for the first time for the design of heterogeneous solids in the frame of a combinatorial program of catalysts development.