Title :
From GAs to artificial immune systems: improving adaptation in time dependent optimization
Author :
Gasper, A. ; COLLARD, Philippe
Author_Institution :
I3S Lab., Sophia Antipolis, France
Abstract :
The paper explores Time Dependent Optimization (Tdo) as a measure of adaptiveness in artificial systems. We first discuss this choice and review classical Tdo models to propose a canonic benchmark. Then we underline the central role of diversity in adaptive dynamics for biological and cybernetic systems and illustrate by a state of the art of evolutionary Tdo (Etdo). A Simple Artificial Immune System (Sais) is then proposed and experimentally compared to Etdo. Encouraging results are explained by strong analogies between Sais and GAs as well as Sais´s ability to manage stable heterogeneous populations as a model of Idiotypic Networks. We conclude by discussing the relevance of artificial immune systems as genuinely adaptive artificial systems
Keywords :
adaptive systems; artificial life; genetic algorithms; Etdo; GAs; Idiotypic Networks; Sais; Simple Artificial Immune System; adaptation; adaptive artificial systems; adaptive dynamics; adaptiveness measure; artificial immune systems; canonic benchmark; classical Tdo models; cybernetic systems; evolutionary Tdo; genetic algorithms; stable heterogeneous populations; time dependent optimization; Adaptive systems; Artificial immune systems; Cybernetics; Genetic algorithms; Genetic mutations; Laboratories; Roads; Time measurement;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.785500
