AntFarm: Towards Simulated Evolution

AntFarm: Efficient Content Distribution with Managed Swarms

This paper describes Antfarm, a content distribution system based on managed swarms. A managed swarm couples peer-to-peer data exchange with a coordinator that directs bandwidth allocation at each peer. Antfarm achieves high throughput by viewing content distribution as a global optimization problem, where the goal is to minimize download latencies for participants subject to bandwidth constrai...

Antfarm: Tracking Processes in a Virtual Machine Environment

In a virtualized environment, the VMM is the system’s primary resource manager. Some services usually implemented at the OS layer, like I/O scheduling or certain kinds of security monitoring, are therefore more naturally implemented inside the VMM. Implementing such services at the VMM layer can be complicated by the lack of OS and application-level knowledge within a VMM. This paper describes ...

Evolution of Marginal Zone Lymphoma Towards Myeloproliferative Disorder: A Case Report

Introns in Nature and in Simulated Structure Evolution

In this study we measure the compression of information in a simulated evolutionary system. We do the investigation taking introns in the genome into account. We mainly investigate evolution of linear computer code but also present results from evolution of tree structures as well as messy genetic algorithms. The size of solutions is an important property of any system trying to learn or adapt ...

On Genetic Algorithms and Lindenmayer Systems

This paper describes a system for simulating the evolution of artificial 2D plant morphologies. Virtual plant genotypes are inspired by the mathematical formalism known as Lindenmayer systems (L-systems). The phenotypes are the branching structures resulting from the derivation and graphic interpretation of the genotypes. Evolution is simulated using a genetic algorithm with a fitness function ...