A continuous location and maintenance routing problem for offshore wind farms: Mathematical models and hybrid methods. (August 2022)
- Record Type:
- Journal Article
- Title:
- A continuous location and maintenance routing problem for offshore wind farms: Mathematical models and hybrid methods. (August 2022)
- Main Title:
- A continuous location and maintenance routing problem for offshore wind farms: Mathematical models and hybrid methods
- Authors:
- Irawan, Chandra Ade
Salhi, Said
Chan, Hing Kai - Abstract:
- Abstract: In this study, we examine a challenging green logistical problem encountered with offshore wind farms: the integrated continuous location and maintenance routing problem wherein a service operation vessel and a safe transfer boat are used to maintain offshore turbines. Our aim is to dynamically and simultaneously determine the best locations for the service operation vessel in the plane (i.e. the sea) and the best delivery and pick-up routes by which the safe transfer boat can access the turbines. An optimisation model of the problem is first developed based on mixed-integer nonlinear programming to minimise the total maintenance cost. Given the limitations of this method, a novel algorithm that integrates a genetic algorithm, variable neighbourhood search, and a Weiszfeld-based algorithm is presented. To assess the performance of the proposed technique, a guided multi-start approach and a hybrid technique based on particle swarm optimisation are introduced. Moreover, our proposed method is shown to be easily adaptable to produce results that compete with those of state-of-the-art methods when it comes to solving a related continuous location routing problem. The computational results demonstrate the effectiveness and robustness of the proposed hybrid method. Highlights: A new MINLP model for the continuous location and maintenance routing problem. A Hybrid Algorithm integrating Genetic Algorithm and Variable Neighbourhood Search. An new iterative approach based onAbstract: In this study, we examine a challenging green logistical problem encountered with offshore wind farms: the integrated continuous location and maintenance routing problem wherein a service operation vessel and a safe transfer boat are used to maintain offshore turbines. Our aim is to dynamically and simultaneously determine the best locations for the service operation vessel in the plane (i.e. the sea) and the best delivery and pick-up routes by which the safe transfer boat can access the turbines. An optimisation model of the problem is first developed based on mixed-integer nonlinear programming to minimise the total maintenance cost. Given the limitations of this method, a novel algorithm that integrates a genetic algorithm, variable neighbourhood search, and a Weiszfeld-based algorithm is presented. To assess the performance of the proposed technique, a guided multi-start approach and a hybrid technique based on particle swarm optimisation are introduced. Moreover, our proposed method is shown to be easily adaptable to produce results that compete with those of state-of-the-art methods when it comes to solving a related continuous location routing problem. The computational results demonstrate the effectiveness and robustness of the proposed hybrid method. Highlights: A new MINLP model for the continuous location and maintenance routing problem. A Hybrid Algorithm integrating Genetic Algorithm and Variable Neighbourhood Search. An new iterative approach based on Weiszfeld to find best locations in the plane. Managerial insights obtained from extensive experimental results. … (more)
- Is Part Of:
- Computers & operations research. Volume 144(2022)
- Journal:
- Computers & operations research
- Issue:
- Volume 144(2022)
- Issue Display:
- Volume 144, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 144
- Issue:
- 2022
- Issue Sort Value:
- 2022-0144-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08
- Subjects:
- Combinatorial optimisation -- Continuous location -- Location routing -- Hybridisation search -- Offshore wind farm
Operations research -- Periodicals
Electronic digital computers -- Periodicals
004.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03050548 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cor.2022.105825 ↗
- Languages:
- English
- ISSNs:
- 0305-0548
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.770000
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- 21574.xml