Unconscious search - A new structured search algorithm for solving continuous engineering optimization problems based on the theory of psychoanalysis

13Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Many metaheuristic methods are based on the ability of systems in Nature to optimize on aspects of their performance. One such system is the human brain with its capacity for optimizing towards a general state of mental balance. The Theory of Psychoanalysis propounded by Sigmund Freud is generally recognized as an account of the mechanisms involved in psychological processes. It is possible to draw an analogy between the practice of psychoanalysis and the treatment of optimization problems. The proposed new Unconscious Search (US) method shares in some features with the procedure attempted in psychoanalysis to elicit the suppressed contents of the subject's mind. One bounded and several unbounded benchmark problems have been solved using the proposed algorithm; the results were satisfactory when compared against earlier results obtained using other known methods. © 2012 Springer-Verlag.

Cite

CITATION STYLE

APA

Ardjmand, E., & Amin-Naseri, M. R. (2012). Unconscious search - A new structured search algorithm for solving continuous engineering optimization problems based on the theory of psychoanalysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7331 LNCS, pp. 233–242). https://doi.org/10.1007/978-3-642-30976-2_28

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free