Continuum structural topology design with genetic algorithms

The genetic algorithm (GA), an optimization technique based on the theory o f natural selection, is applied to structural topology design problems. Aft er reviewing the GA and previous research in structural topology optimizati on, we describe a binary material/void design representation that is encode d in GA chromosome data structures. This representation is intended to appr oximate a material continuum as opposed to discrete truss structures. Four examples, showing the broad utility of the approach and representation, are then presented. A fifth example suggests an alternate representation that allows continuously-variable material density. Concluding discussion sugges ts recommended uses of the technique and describes ongoing and possible fut ure work. (C) 2000 Elsevier Science S.A. All rights reserved.