@article{(Open Science Index):https://publications.waset.org/pdf/10006987,
	  title     = {Series-Parallel Systems Reliability Optimization Using Genetic Algorithm and Statistical Analysis},
	  author    = {Essa Abrahim Abdulgader Saleem and  Thien-My Dao},
	  country	= {},
	  institution	= {},
	  abstract     = {The main objective of this paper is to optimize series-parallel system reliability using Genetic Algorithm (GA) and statistical analysis; considering system reliability constraints which involve the redundant numbers of selected components, total cost, and total weight. To perform this work, firstly the mathematical model which maximizes system reliability subject to maximum system cost and maximum system weight constraints is presented; secondly, a statistical analysis is used to optimize GA parameters, and thirdly GA is used to optimize series-parallel systems reliability. The objective is to determine the strategy choosing the redundancy level for each subsystem to maximize the overall system reliability subject to total cost and total weight constraints. Finally, the series-parallel system case study reliability optimization results are showed, and comparisons with the other previous results are presented to demonstrate the performance of our GA.
},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {11},
	  number    = {5},
	  year      = {2017},
	  pages     = {960 - 966},
	  ee        = {https://publications.waset.org/pdf/10006987},
	  url   	= {https://publications.waset.org/vol/125},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 125, 2017},
	}