Solving Large-Scale Multipoint Lighting Design Problem Using Multi-Agent Environment

Abstract

In the paper we focus on the problem of large-scale distribution of lighting points. Its solution is constrained by economic issues like power consumption or exploitation costs and, on the other side, by the computational complexity of design process. Multi-agent computational environment combined with graph and hypergraph representations of a problem allow meeting design requirements and objectives and, on the other hand, make the method applicable for large systems for which computational effectiveness is a crucial factor.

Outdoor Lighting Design Process Optimization

“…To compensate formal graph-based methods, tools, and algorithms are used (Sędziwy and Kozień-Woźniak, 2012). They fully utilize parallel and distributed computations, and agent-based approaches (Sędziwy and Kotulski, 2011).…”

Towards AI-based distributed lighting control systems

“…It needs to be pointed out that using graph and hypergraph representations in the presented approach makes it applicable to any level of problems structural complexity. Their expressive power is sufficient to describe complete topology [8]. The added value of this method, compared with others, is its scalability supported by mentioned formal model and parallel computation methods based on agents, described in the following sections.…”

Green Agh Campus

“…To overcome the computational complexity related problems a formal representation of a system has to be introduced. A graph model of an urban space coupled with distributed, agent-based computations paradigm are applied (see (Sȩdziwy and Kotulski, 2011)). The control system is supported by distributed rule based Artificial Intelligence systems.…”