An improved NSGA2 to solve a bi-objective optimization problem of multi-state electronic transaction network

• Published in: Reliability engineering & system safety Vol. 191; p. 106578
• Main Author: Yeh, Cheng-Ta
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.11.2019; Elsevier BV
• Subjects: Algorithms; Allocation cost; Binary physical line allocation; Classification; Correlated failure; Genetic algorithms; Improved fast non-dominated sorting genetic algorithm (iNSGA2); Maintenance; Multi-state electronic transaction network; Network reliability; Optimization; Reliability analysis; Reliability engineering; Sorting algorithms; Supervisors; Technique for order preference by similarity to an ideal solution (TOPSIS); Transmission reliability; Multi-state electronic transaction network; Correlated failure; Technique for order preference by similarity to an ideal solution (TOPSIS); Binary physical line allocation; Allocation cost; Transmission reliability; Improved fast non-dominated sorting genetic algorithm (iNSGA2)

•Discuss a bi-objective optimization problem of multi-state ETN.•Find the physical line allocation with maximal reliability and minimal cost.•Develop an improved NSGA2 integrating k-means to determine the Pareto solutions.•Demonstrate that the improve NSGA2 performs better than the original NSGA2. A...