"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.","http://cogprints.org/6580/","Whitacre, Dr James M and Pham, Dr Tuan Q and Sarker, Dr Ruhul A","UNSPECIFIED","       <span class=\"person_name\">Whitacre, Dr James M</span> and <span class=\"person_name\">Pham, Dr Tuan Q</span> and <span class=\"person_name\">Sarker, Dr Ruhul A</span>     (2006)  <a href=\"http://cogprints.org/6580/\"><em>Credit Assignment in Adaptive Evolutionary Algorithms.</em></a>       [Conference Paper]           ","","2006-07-08"