We consider probabilistic constrained linear programs with general distributions for the uncertain parameters. These problems generally involve non-convex feasible sets. We develo...
This paper investigates fitness sharing in genetic programming. Implicit fitness sharing is applied to populations of programs. Three treatments are compared: raw fitness, pure fi...
: In many of today's application programs, security functionality is inseparably intertwined with the actual mission-purpose logic. As a result, the trusted code base is unnec...
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Therearemanymethodsfordetectingandmitigatingsoftware errors but few generic methods for automatically repairing errors once they are discovered. This paper highlights recent work ...
Westley Weimer, Stephanie Forrest, Claire Le Goues...