Computing approximate solutions of scalar optimization problems and applications in space mission design

Oliver Schütze, Adriana Lara, Carlos A.Coello Coello, Massimiliano Vasile

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

In many applications it can be advantageous for the decision maker to have multiple options available for a possible realization of the project. One way to increase the number of interesting choices is in certain cases to consider in addition to the optimal solution x* also nearly optimal or approximate solutions which differ in the design space from x* by a certain value. In this paper we address the efficient computation and discretization of the set E of ε-approximate solutions for scalar optimization problems. For this we will suggest two strategies to archive and update the data coming from the generation process of the search procedure, and will use Differential Evolution coupled with the new archivers for the computation of E. Finally, we will demonstrate the behavior of the archiver empirically on some academic functions as well as on two models related to space mission design.

Idioma originalInglés
Título de la publicación alojada2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
DOI
EstadoPublicada - 2010
Publicado de forma externa
Evento2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 - Barcelona, Espana
Duración: 18 jul. 201023 jul. 2010

Serie de la publicación

Nombre2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Conferencia

Conferencia2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
País/TerritorioEspana
CiudadBarcelona
Período18/07/1023/07/10

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