Computer Science ›› 2017, Vol. 44 ›› Issue (Z11): 577-579.doi: 10.11896/j.issn.1002-137X.2017.11A.123

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Research and Application of Multi-objective Optimization Algorithm Based on Interval Reliability Lower Bound

YAN Hong   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In order to fill the lack of research aims to multi-objective optimization algorithm,in this paper the problem of the multi-objective optimization which could be applied for manufacturing based on multiple factors was selected as the research object.Firstly,the concept of interval between credibility and dominance relations etc was proposed.Secondly,the algorithm multi-objective optimization based on the lower bound of the confidence interval was established based on confidence interval and dominance relations.Finally,the optimization algorithm was studied by multi-objective numerical optimization.The results shows that H measure and evolution are positively correlated with the increase of the individualin the same value of γ.It can explain,and the lower bound of the dominant credibility algorithm based on the -Pareto front more able to reflect the true Pareto front with the evolution algebra.It can be seen that the multi-objective optimization algorithm is more suitable for practical situation based on confidence interval bounds established compared with the proposed algorithm of IP-MOEA and SPGA.The multi-objective optimization algorithm based on the lower bound of the confidence interval can fill the lack.

Key words: Interval reliability,Dominance relation,Multi-objective optimization,Algorithm

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