Linkage Information Processing In Distribution Estimation Algorithms

The last few years there has been an increasing amount of interest in the eld of distribution estimation optimization algorithms. As more techniques are introduced, the variety in tested distribution structures increases. In this paper we analyze the implications of the form of such a structure. We show that learning the linkage relations alone and using them directly in a distribution estimation algorithmto generate new samples is not su cient forbuildingcompetentevolutionary algorithms. The informationneeds to be processed to identifyand use the buildingblocks.

• Type: Conference
• Year: 1999
• Where: GECCO
• Authors: Peter A. N. Bosman, Dirk Thierens
• Keywords: Distribution Estimation, Distribution Estimation Optimization, Distribution Structures Increases, GECCO 1999, Optimization