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Reliability-based design optimizations (RBDOs) of engineering structures involve complex non-linear/non-differentiable performance functions, including both continuous and discrete variables. The gradient-based RBDO algorithms are less than satisfactory for these cases. The simulation-based approaches could also be computationally inefficient, especially when the double-loop strategy is used. This paper aims to present a pseudo-double loop flexible RBDO, which is efficient for solving problems, including both discrete/continuous variables.

The method is based on the hybrid improved binary bat algorithm (BBA) and weighed simulation method (WSM). According to this method, each BBA’s movement generates proper candidate solutions, and subsequently, WSM evaluates the reliability levels for design candidates to conduct swarm in a low-cost safe-region.

The accuracy of the proposed enhanced BBA and also the hybrid WSM-BBA are examined for ten benchmark deterministic optimizations and also four RBDO problems of truss structures, respectively. The solved examples reveal computational efficiency and superiority of the method to conventional RBDO approaches for solving complex problems including discrete variables.

Unlike other RBDO approaches, the proposed method is such organized that only one simulation run suffices during the optimization process. The flexibility future of the proposed RBDO framework enables a designer to present multi-level design solutions for different arrangements of the problem by using the results of the only one simulation for WSM, which is very helpful to decrease computational burden of the RBDO. In addition, a new suitable transfer function that enhanced convergence rate and search ability of the original BBA is introduced.

The purpose of this study was to investigate the views of librarians in Iran academic libraries about the extent of their familiarity, application and knowledge of the cloud computing in libraries.

This was a survey research. The statistical population of research consisted of librarians working in five universities in northeastern Iran. The sample (83 librarian) selected by using random sampling method.

The findings showed that in 2019 librarians familiar with cloud computing was low, but their use of cloud computing services was moderate. Also the findings showed that the item of providing enough computers in the library had the lowest effect on promoting the use of cloud computing and the items. Cloud computing training for librarians and users and broadband Internet were best strategies offered by librarians to promote the use of cloud computing.

Cloud computing has received less attention from librarians and researchers. However, based on the results of the present study, the broader use of cloud computing in libraries requires specialized and trained staff. Librarians need to broaden their knowledge in this technology.