Pareto-optimal Glowworm Swarms Optimization for Smart Grids Management

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This paper presents a novel nature-inspired multi-objectiveoptimization algorithm. The method extends the glowworm swarm particlesoptimization algorithm with algorithmical enhancements which allowto identify optimal pareto front in the objectives space. In addition,the system allows to specify constraining functions which are needed inpractical applications. The framework has been applied to the powerdispatch problem of distribution systems including Distributed EnergyResources (DER). Results for the test cases are reported and discussedelucidating both numerical and complexity analysis.
Lingua originaleEnglish
Titolo della pubblicazione ospiteApplications of Evolutionary Computation
Numero di pagine10
Stato di pubblicazionePublished - 2013

Serie di pubblicazioni


All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
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