Skip to main content
Article thumbnail
Location of Repository

Secondary Immune Response for Evolutionary Time Dependent Optimization

By Alessio Gaspar


In this paper, we investigate the relevance of two simple computational models of immunization in Time Dependent optimization (TDO) problems. At rst, we propose a Simple Arti cial Immune System (Sais) and experimentally compare its reactiveness and robustness to well known evolutionist approaches. Sais is then applied to a cyclic dynamical environment in order to evaluate its ability to feature an improved robustness when facing previously encountered optima. After discussing the limits of this approach, we propose a second algorithm (Yasais) designed to improve this so-called immunization process by stabilizing the way optima are memorized. Eventually, we discuss the results of both algorithms and underline how the latter features a quasi-optimal behavior.

Topics: Arti cial Immune Systems, Evolutionary Computation, Time Dependent Optimization
Year: 2002
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.