An emergent computation approach to the problem of polygon layout with performance constraints

Zhendong Huang and Renbin Xiao

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 20, 5074-5088

Abstract: We address the two-dimensional satellite irregular polygons layout problem (TDSIPLP). By mapping the layout problem to a physical system, we present a self-organization emergence algorithm (SEA) based on a multi-agent system (MAS). SEA uses information on the local energy of agents and neighborhood rules to guide interactions between the agents and the environment. System self-organization evolves at a microcosmic level and eventually yields a layout that meets the performance constraints for a satellite. Experiments show that SEA can provide much better performance than other optimization techniques, such as generalized simulated annealing (GSA).

Keywords: Packing problem with constraints; Multi-agent system; Self-organization emergence algorithm; No-fit polygon; Generalized simulated annealing (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:20:p:5074-5088

DOI: 10.1016/j.physa.2013.05.043

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