On the Behavior of Stochastic Local Search within Parameter Dependent MOPs
Sosa Hernandez V, Schütze O, Trautmann H, Rudolph G
Abstract
In this paper we investigate some aspects of stochastic local search such as pressure toward and along the set of interest within parameter dependent multi-objective optimization problems. The discussions and initial computations indicate that the problem to compute an approximation of the entire solution set of such a problem via stochastic search algorithms is well-conditioned. The new insights may be helpful for the design of novel stochastic search algorithms such as specialized evolutionary approaches. The discussion in particular indicates that it might be beneficial to integrate the set of external parameters directly into the search instead of computing projections of the solution sets separately by fixing the value of the external parameter.
Keywords
Parameter dependent multi-objective optimization; Stochastic local search; Evolutionary algorithms
Cite as
Sosa, H. V., Schütze, O., Trautmann, H., & Rudolph, G. (2015). On the Behavior of Stochastic Local Search within Parameter Dependent MOPs. In
Proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, Guimaraes, Portugal, 126–140.
Details
Publication type
Research article in proceedings (conference)
Peer reviewed
Yes
Publication status
Published
Year
2015
Conference
8th International Conference on Evolutionary Multi-Criterion Optimization
Venue
Guimaraes, Portugal
Book title
Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part II
Editor
Gaspar-Cunha, António; Henggeler Antunes, Carlos; Coello Coello, Carlos
Start page
126
End page
140
Volume
9019
Title of series
Lecture Notes in Computer Science
Language
English
ISSN
0302-9743
ISBN
978-3-319-15891-4
DOI
