http://cogprints.org/6580/
Credit Assignment in Adaptive Evolutionary Algorithms
In this paper, a new method for assigning credit to search
operators is presented. Starting with the principle of optimizing
search bias, search operators are selected based on an ability to
create solutions that are historically linked to future generations.
Using a novel framework for defining performance
measurements, distributing credit for performance, and the
statistical interpretation of this credit, a new adaptive method is
developed and shown to outperform a variety of adaptive and
non-adaptive competitors.
Whitacre, Dr James M
Pham, Dr Tuan Q
Sarker, Dr Ruhul A
Artificial Intelligence
James M
Whitacre
Tuan Q
Pham
Ruhul A
Sarker