Title :
Robust algorithms for adaptation set in a general formal framework
Author_Institution :
The University of Michigan, Ann Arbor, Michigan
Abstract :
This paper presents a general formalism for defining problems of adaptation. Within this formalism a class of algorithms, the sequential reproductive plans, is defined. It is then proved that sequential reproductive plans are robust in the sense that, in environments with a well-defined measure of payoff (utility, performance), any such plan will acquire payoff at a rate which asymptotically approaches the optimum.
Keywords :
History; Process design; Robustness;
Conference_Titel :
Adaptive Processes (9th) Decision and Control, 1970. 1970 IEEE Symposium on
Conference_Location :
Austin, TX, USA
DOI :
10.1109/SAP.1970.270009