Purpose-A recursive scheme for the ALIENOR method is proposed as a remedy for the difficulties induced by the method.A progressive focusing on the most promising region,in combination with a variation of the density o...Purpose-A recursive scheme for the ALIENOR method is proposed as a remedy for the difficulties induced by the method.A progressive focusing on the most promising region,in combination with a variation of the density of the alpha-dense curve,is proposed.Design/methodology/approach-ALIENOR method is aimed at reducing the space dimensions of an optimization problem by spanning it by using a single alpha-dense curve:the curvilinear abscissa along the curve becomes the only design parameter for any design space.As a counterpart,the transformation of the objective function in the projected space is much more difficult to tackle.Findings-A fine tuning of the procedure has been performed in order to identity the correct balance between the different elements of the procedure.The proposed approach has been tested by using a set of algebraic functions with up to 1,024 design variables,demonstrating the ability of the method in solving large scale optimization problem.Also an industrial application is presented.Originality/value-In the knowledge of the author there is not a similar paper in the current literature.展开更多
基金Acknowledgements:The author would like to thank the Italian Minister of Instruction,University and Research(MIUR)to support this research with funds coming from PRIN Project 2017(No.2017KKJP4X entitled“Innovative numerical methods for evolutionary partial differential equations and applications”).
文摘Purpose-A recursive scheme for the ALIENOR method is proposed as a remedy for the difficulties induced by the method.A progressive focusing on the most promising region,in combination with a variation of the density of the alpha-dense curve,is proposed.Design/methodology/approach-ALIENOR method is aimed at reducing the space dimensions of an optimization problem by spanning it by using a single alpha-dense curve:the curvilinear abscissa along the curve becomes the only design parameter for any design space.As a counterpart,the transformation of the objective function in the projected space is much more difficult to tackle.Findings-A fine tuning of the procedure has been performed in order to identity the correct balance between the different elements of the procedure.The proposed approach has been tested by using a set of algebraic functions with up to 1,024 design variables,demonstrating the ability of the method in solving large scale optimization problem.Also an industrial application is presented.Originality/value-In the knowledge of the author there is not a similar paper in the current literature.
