To read this content please select one of the options below:

A recursive implementation of the ALIENOR optimization method

Daniele Peri (National Research Council (CNR), Istituto per le Applicazioni del Calcolo “Mauro Picone” – IAC, Roma, Italy)

International Journal of Intelligent Computing and Cybernetics

ISSN: 1756-378X

Article publication date: 25 January 2021

Issue publication date: 23 April 2021




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.


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.


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.


In the knowledge of the author there is not a similar paper in the current literature.



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”).


Peri, D. (2021), "A recursive implementation of the ALIENOR optimization method", International Journal of Intelligent Computing and Cybernetics, Vol. 14 No. 2, pp. 81-103.



Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

Related articles