Title :
Knowledge evolution algorithm for series-parallel system reliability optimization
Author :
Chang-jian Luo ; Hui-min Ma
Author_Institution :
Bus. Sch., Univ. of Shanghai for S&T, Shanghai, China
Abstract :
The problem of system reliability optimization is studied, and in order to solve this problem, a new algorithm of optimization based on a knowledge evolution algorithm was put forward. The detailed realization of the method is illustrated. Examples in other references are recomputed and both simulation results are compared. It can be found that the efficiency and superiority of the algorithm in solving system reliability.
Keywords :
computational complexity; evolutionary computation; reliability theory; knowledge evolution algorithm; series-parallel system reliability optimization; Computers; Educational institutions; Heuristic algorithms; Mathematical model; Optimization; Reliability engineering; combinatorial optimization; evolutionary computation; knowledge evolution algorithm; reliability;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885055
