A hybrid Jaya algorithm for reliability-redundancy allocation problems

作者：Ghavidel Sahand^*; Azizivahed Ali; Li Li

来源：Engineering Optimization, 2018, 50(4): 698-715.

DOI：10.1080/0305215X.2017.1337755

• Jaya algorithm
• reliability-redundancy allocation problems (RRAPs)
• teaching-learning-based optimization (TLBO) algorithm
• time-varying acceleration coefficients

This article proposes an efficient improved hybrid Jaya algorithm based on time-varying acceleration coefficients (TVACs) and the learning phase introduced in teaching-learning-based optimization (TLBO), named the LJaya-TVAC algorithm, for solving various types of nonlinear mixed-integer reliability-redundancy allocation problems (RRAPs) and standard real-parameter test functions. RRAPs include series, series-parallel, complex (bridge) and overspeed protection systems. The search power of the proposed LJaya-TVAC algorithm for finding the optimal solutions is first tested on the standard real-parameter unimodal and multi-modal functions with dimensions of 30-100, and then tested on various types of nonlinear mixed-integer RRAPs. The results are compared with the original Jaya algorithm and the best results reported in the recent literature. The optimal results obtained with the proposed LJaya-TVAC algorithm provide evidence for its better and acceptable optimization performance compared to the original Jaya algorithm and other reported optimal results.

• 出版日期2018