SciELO - Scientific Electronic Library Online

 
vol.90 issue229Historical overview to the management development process in CubaDevelopment of an ecological and standardized process for the production of garlic powder (Allium Sativum) in the agricultural sector of the region of Arequipa author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


DYNA

Print version ISSN 0012-7353On-line version ISSN 2346-2183

Abstract

CRESPO-SANCHEZ, Gustavo  and  PEREZ-ABRIL, Ignacio. Multi-objective reconfiguration of the distribution systems by using NSGA-II and local improvement. Dyna rev.fac.nac.minas [online]. 2023, vol.90, n.229, pp.89-96.  Epub Apr 03, 2024. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v90n229.108399.

Many heuristics for network reconfiguration rely on the systematic applying of the branch-exchange technique. In this work, two novel genetic operators for crossover and mutation have been developed that are based on the referred technique. The chromosome's codification to use these operators is straightforward and is not required any additional knowledge of graph theory to achieve the feasibility of individuals. As one of their main novelties, the methodology shows how can be employed a local improvement step, used commonly in the single-objective optimization, in the multi-objective optimization. This step increases the convergence of the optimization with populations of much reduced size. The proposed methodology is tested by solving several examples of the literature, including or not the local improvement step. The comparison of the results with the best solutions published for these examples shows the effectiveness of the method.

Keywords : reconfiguration; distribution systems; genetic algorithm; NSGA-II.

        · abstract in Spanish     · text in English     · English ( pdf )