System Reliability and Cost Optimization Under Various Scenarios Using NSGA-III
| Autor: | Mohamed Arezki Mellal, Smail Adjerid, Djamel Benazzouz, Billal Nazim Chebouba |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Optimization problem Power station Computer science Reliability (computer networking) Sorting 02 engineering and technology Multi-objective optimization Cost optimization Set (abstract data type) 020901 industrial engineering & automation Genetic algorithm 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing |
| Zdroj: | 2020 International Conference on Electrical Engineering (ICEE). |
| DOI: | 10.1109/icee49691.2020.9249929 |
| Popis: | Nowadays, industrial systems need to be as reliable as possible in order to ensure safety and competitiveness. This paper addresses the reliability-redundancy allocation problem (RRAP) of an overspeed protection system in a power plant under various scenarios. Previously, this kind of optimization problems were solved using mathematical programming techniques and considered as a single objective optimization problem, however more recently, bio-inspired algorithms are used to solve this type of optimization problem. In the present work, a multi-objective evolutionary optimization algorithm, called the non-dominated sorting genetic algorithm (NSGA-III) is implemented to solve the problem under a set of nonlinear design constraints. The NSGA-III demonstrates its ability to generate a set of non-dominated solutions. The results are discussed under various scenarios of minimum allowable reliability. |
| Databáze: | OpenAIRE |
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