Implementing the NSGA-II genetic algorithm to select the optimal repair and maintenance method of jack-up drilling rigs in Iranian shipyards-Reference-Cited by-同舟云学术

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Implementing the NSGA-II genetic algorithm to select the optimal repair and maintenance method of jack-up drilling rigs in Iranian shipyards

Published:2020-09 Issue: Volume:211 Page:107548
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Mortezaei Farizhendy Mojgan,Noorzai Esmatullah,Golabchi Mahmood

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference59 articles.

1. Exploring the causes of delays in construction industry using a cause-and-effect diagram: a case study for Iran;Abbasi;J. Architect. Eng.,2020

2. Developing a quantitative risk-based methodology for maintenance scheduling using bayesian network;Abbassi;Chem. Eng. Trans.,2016

3. Risk assessment of drilling rig equipment selection of maintenance policy by hierarchical analysis method;Ahmadi,2013

4. Genetic Algorithm;Alborzi,2009

5. Well service rigs, operating rigs, and commodity prices;Apergis;Energy Sources, Part B: Economics, Planning, and Policy,2017

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2. Reducing energy consumption in operation and demolition phases by integrating multi-objective optimization with LCA and BIM;Energy Efficiency;2023-06-28

3. Enhancing the level of confidence in the safe fire evacuation operation employing a combination of BIM and fuzzy TOPSIS method;Smart and Sustainable Built Environment;2023-05-24

4. The Investigation of Workover Rig Scheduling Optimization Using Genetic Algorithms – Part I;Day 2 Tue, May 23, 2023;2023-05-15

5. BIM-based solution to enhance the performance of public-private partnership construction projects using copula bayesian network;Expert Systems with Applications;2023-04

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