Abstract. This paper introduces a novel framework for designing multiagent systems, called “Distributed Agent Evolution with Dynamic Adaptation to Local Unexpected Scenarios” (...
Suranga Hettiarachchi, William M. Spears, Derek Gr...
In modern software engineering, researchers regard a software system as an organic life form that must continue to evolve to remain successful. Unfortunately, little is known abou...
Interactions between evolution and lifetime learning are of great interest to studies of adaptive behaviour both in the natural world and the field of evolutionary computation. Th...
Interactive interpolating crossover allows a user to quickly see a large number of individuals formed by interactively-controlled interpolation between two or more parents. We stud...
James McDermott, Michael O'Neill, Anthony Brabazon
We study the evolution of robustness in digital organisms adapting to a high mutation rate. As genomes adjust to the harsh mutational environment, the mean effect of single mutatio...