Swarming agents often operate in benign geographic topologies that let them explore alternative trajectories with minor variations that the agent dynamics then amplify for improve...
Sven A. Brueckner, Theodore C. Belding, Robert Bis...
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Security must be a first class citizen in the design of large scale, interacting, software applications, at early and all stages of the lifecycle, for accurate and precise policy ...
Thuong Doan, Steven A. Demurjian, T. C. Ting, Andr...