A review of redundancy allocation problem for two decades: bibliometrics and future directions
Redundancy allocation problem (RAP) has attracted many researchers in recent years as it
is very important aspect in the field of reliability and system engineering. It plays an …
is very important aspect in the field of reliability and system engineering. It plays an …
A novel hybrid adaptive Kriging and water cycle algorithm for reliability-based design and optimization strategy: Application in offshore wind turbine monopile
D Meng, S Yang, AMP De Jesus… - Computer Methods in …, 2023 - Elsevier
Metaheuristic algorithms have been widely concerned by scholars because of their global
optimization ability that does not depend on gradient information. In this study, Water Cycle …
optimization ability that does not depend on gradient information. In this study, Water Cycle …
Application of state-of-the-art multiobjective metaheuristic algorithms in reliability-based design optimization: a comparative study
Multiobjective reliability-based design optimization (RBDO) is a research area, which has
not been investigated in the literatures comparing with single-objective RBDO. This work …
not been investigated in the literatures comparing with single-objective RBDO. This work …
A review of the use of multicriteria and multi-objective models in maintenance and reliability
AT de Almeida, RJP Ferreira… - IMA Journal of …, 2015 - academic.oup.com
This article evaluates 186 papers, published between 1978 and 2013 in 16 representative
scientific journals, related to maintenance and reliability problems that were tackled from a …
scientific journals, related to maintenance and reliability problems that were tackled from a …
A comparative study of metaheuristic algorithms for reliability-based design optimization problems
The ever-increasing demands for resource-saving, engineering technology progress, and
environmental protection stimulate the progress of the progressive design method. As an …
environmental protection stimulate the progress of the progressive design method. As an …
A production inventory model with interval-valued carbon emission parameters under price-sensitive demand
As environmental pollution has become a serious problem in recent years, production firms
have now shifted their attention to lower the carbon emission level along with their financial …
have now shifted their attention to lower the carbon emission level along with their financial …
[BOOK][B] Multicriteria and multiobjective models for risk, reliability and maintenance decision analysis
Many decision problems have more than one objective that need to be dealt with
simultaneously. Risk, Reliability and Maintenance (RRM) are contexts in which decision …
simultaneously. Risk, Reliability and Maintenance (RRM) are contexts in which decision …
A set-based genetic algorithm for interval many-objective optimization problems
D Gong, J Sun, Z Miao - IEEE Transactions on Evolutionary …, 2016 - ieeexplore.ieee.org
Interval many-objective optimization problems (IMaOPs), involving more than three
objectives and at least one subjected to interval uncertainty, are ubiquitous in real-world …
objectives and at least one subjected to interval uncertainty, are ubiquitous in real-world …
A similarity-based cooperative co-evolutionary algorithm for dynamic interval multiobjective optimization problems
D Gong, B Xu, Y Zhang, Y Guo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Dynamic interval multiobjective optimization problems (DI-MOPs) are very common in real-
world applications. However, there are few evolutionary algorithms (EAs) that are suitable …
world applications. However, there are few evolutionary algorithms (EAs) that are suitable …
An interval-valued green production inventory model under controllable carbon emissions and green subsidy via particle swarm optimization
It is a challenging task to develop appropriate realistic production inventory models due to
the presence of imprecision in the data available in the current market situation. In addition …
the presence of imprecision in the data available in the current market situation. In addition …