Optimum Design of High-Rise Steel Buildings using an Evolution Strategy Integrated Parallel Algorithm

摘要

The present study addresses a parallel solution algorithm for optimum design ofrnlarge steel space frame structures, in particular high-rise steel buildings. Thernalgorithm implements a novel discrete evolution strategy optimization method torneffectively size these systems for minimum weight according to the provisions ofrnASD-AISC specification and various practical aspects of design process. Thernmultitasking environment in the algorithm rests on a master-slave model basedrnparallelization of the optimization procedure, which provides an ideal platform forrnattaining optimal solutions in a timely manner without losing accuracy inrncomputations. Three design examples from the category of high-rise steel buildingsrnare studied extensively to demonstrate cost-efficiency of the algorithm in conjunctionrnwith a cluster of computers with 32 processors. The variation in performance of thernparallel computing system with respect to the number of processors employed is alsornscrutinized in each design example.