We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
The Army’s push towards developing highly flexible military teams that combine manned and unmanned units requires significant advances in the intelligence of the unmanned units ...
Talib S. Hussain, Daniel Cerys, David J. Montana, ...
ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...