On the Behavior of Stochastic Local Search within Parameter Dependent MOPs

Sosa Hernandez V, Schütze O, Trautmann H, Rudolph G


Zusammenfassung
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.

Schlüsselwörter
Parameter dependent multi-objective optimization; Stochastic local search; Evolutionary algorithms



Publikationstyp
Aufsatz (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2015

Konferenz
8th International Conference on Evolutionary Multi-Criterion Optimization

Konferenzort
Guimaraes, Portugal

Buchtitel
Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 --April 1, 2015. Proceedings, Part II

Herausgeber
Gaspar-Cunha, António; Henggeler Antunes, Carlos; Coello Coello, Carlos

Erste Seite
126

Letzte Seite
140

Band
9019

Reihe
Lecture Notes in Computer Science

Sprache
Englisch

ISSN
0302-9743

ISBN
978-3-319-15891-4

DOI