Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
In this paper we discuss a deployed application at Ford Motor Company that utilizes AI technology for the analysis of potential ergonomic concerns at our assembly plants. The manu...
Crew pairing generation is a time consuming part of the complex process of airline crew scheduling. We present a parallel algorithm for this problem's solution and several im...
This paper discusses the use of “relative debugging” as a technique for locating errors in a program that has been ported or developed using evolutionary software engineering ...
David Abramson, Raphael A. Finkel, Donny Kurniawan...
This paper describes a multi-objective memetic approach for solving multi-objective flexible process sequencing problems in flexible manufacturing systems (FMSs). FMS can be des...