Abstract

In this article, we consider the statement of a problem described in the competition ROADEF/EURO challenge 2020 [4] dedicated to a maintenance planning optimization problem in collaboration with RTE [5]. First of all, the main task is to build an optimal maintenance schedule for a high voltage transmission network to ensure the delivery and supply of electricity. To solve this problem we use several optimization methods to find the best possible maintenance schedule that would be consistent with all work-related constraints and would take into account the risk assessment. There are many existing heuristic, metaheuristic, and exact algorithms that can solve this optimization problem; yet it is highly feasible that the state-of-the-art methods currently available may offer some improvement. For this reason, taking into account the task at hand, we decided to use the CMA-VNS [27] algorithm after examining the results of the Combinatorial Black Box Optimization Competition [2]. The algorithm is hybrid and consists of Bipop CMA-ES and VNS algorithms that make it possible to obtain solutions with a zero penalty function and close to a minimal objective function in an admissible time. Other popular algorithms were carried out in comparison with our solution to prove the efficiency of this approach. The effectiveness of this approach to solving the problem is demonstrated.

Original languageEnglish
Title of host publicationMathematical Optimization Theory and Operations Research: Recent Trends
Subtitle of host publication20th International Conference, MOTOR 2021, Irkutsk, Russia, July 5–10, 2021, Revised Selected Papers
EditorsAlexander Strekalovsky, Yury Kochetov, Tatiana Gruzdeva, Andrei Orlov
PublisherSpringer Nature
Pages429-443
Number of pages15
ISBN (Print)9783030864323
DOIs
StatePublished - 2021
Event20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021 - Virtual, Online
Duration: 5 Jul 202110 Jul 2021

Publication series

NameCommunications in Computer and Information Science
Volume1476 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021
CityVirtual, Online
Period5/07/2110/07/21

Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Keywords

  • Global optimization
  • Large scale combinatorial optimization
  • Maintenance planning
  • Operations research

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