Automated self-assembly programming paradigm: The impact of network topology

In our previous work Li et al., in Proc of 3rd IEEE Int Workshop on Engineering of Automatic & Automation Systems, Potsdam, Germany, 2006, pp 25–34; Li et al., in Proc Workshop on Nature Inspired Cooperative Strategies for Optimization, Granada, Spain, 2006, pp 123–134, we introduced automated self-assembly programming paradigm (ASAP2) using unguided selfassembly and swarm-inspired methodologies. We investigated how external environment settings affect software self-assembly speed and diversity of the generated programs. In this paper, we extend our previous work with a diversified compartments approach based on general graphs. This diversified compartments approach is integrated into a network structure such that each compartment can be seen as a node in the network. We investigate how structures of the network impacts on software self-assembly speed, complexity, and diversity of generated programs. Results indicate that network structure can substantially affect the dynamics, diversity, and complexity of generated programs. C © 2009 Wiley Periodicals, Inc.