OPTIMAL DESIGN OF MAIN GIRDER OF LARGEPRESSING MACHINE BASED ON FATHER-OFFSPRINGCOMBINED SELECTION GA

摘要

Main girder is one of the most important forced parts ofrnlarge pressing machine. Its optimal design is a complex realrnworld engineering optimization problem with a series ofrndesign constraints .Classical optimization algorithms such asrnthe downhill simplex and sequential quadratic programmingrnare generally not successful in solving such hardrnoptimization problems.They often do not give "global" orrn"near-global" optimum solutions. In this paper, a modifiedrngenetic algorithm is presented which is based on father-offspringrncombined selection strategy. In the proposedrnalgorithm, a core technique, father-offspring combinedrnselection strategy, is used to improve the convergencerndrawbacks of the basic genetic algorithm in search for globalrnoptimum. The efficiency of the proposed genetic algorithmrnis illustrated by application to main girder optimum design.rnThe results show that the global searching ability and thernconvergence speed of this proposed algorithm arernsignificantly better than traditional optimization methods.rnHence, the father-offspring combined selection geneticrnalgorithm is efficient and valid in solving practicalrnengineering design problems.