Design of Composite Laminates by a Genetic Algorithm with Memory

摘要: This paper describes the use of a genetic algorithm with memory for design minimum thickness composite laminates subject to strength, buckling and ply contiguity constraints. A binary tree is used efficiently store retrieve information about past designs. construct set linear approximations load in neighborhood each member population The are then seek nearby improved designs procedure called local improvement. demonstrates that this substantially reduces number analyses required search. also algorithms helps find several alternate similar performance, thus giving designer choice alternatives.