# Exploring Evolutionary Algorithms for Multi-Objective Optimization in Seismic Structural Design
## 6 Conclusions
However, there are considerable limitations to the data processing and analysis in this study due to the differing architectures of the metadata files generated from the Scopus and WoS databases. The primary disadvantage is that the combined file produced by these two databases can only be seen with Biblioshiny. Although Biblioshiny is an effective tool, having access to additional programs will enable us to generate bibliometric analyses of a different kind that Biblioshiny does not offer. Secondly, cleaning, data scanning, and correction were completed manually before the analytic procedures; as a result, errors may have occurred that affected our study. Thirdly, a potential length-time-effect bias occurs, as in all bibliometric research, which disadvantages the more recent papers in obtaining citations. In this study, the limitations of the analyses performed using Biblioshiny are acknowledged. However, the potential for data integration with other bibliometric tools other than Biblioshiny can be evaluated. For example, tools such as VOSviewer, CiteSpace, BibExcel, and Gephi can allow data to be analyzed from a broader perspective. These tools can enrich existing analyses by offering different capabilities in terms of visualization and network analysis. In particular, VOSviewer and CiteSpace can be more powerful in visualizing author collaboration networks and citation analysis graphs. However, it is also possible to make your analyses more robust using only Biblioshiny. Thanks to Biblioshiny's flexible programming environment, users can customize analysis processes and integrate them with other graphical and statistical tools. For example, data cleaning and additional statistical analyses can be performed with other packages available in R. In addition, it is possible to export the analysis results in Biblioshiny to perform a more in-depth examination or visualization with different tools. In using these methods, data can be enriched, and analyses can be made more powerful. These types of analysis may be included in future studies. However, in our study, only the R-studio program and the biblioshiny package were used. In bibliometric research, length-time-effect bias is a common limitation. In particular, older publications are often at an advantage over newer studies, as they have a higher chance of being cited over time. This bias can lead to unfair results when comparing the academic impact of publications. This bias was also considered a limitation in our study, but methods, such as normalizing citation counts by year, can be used to mitigate this bias. For example, by normalizing citation rates by year of publication, the impact of each publication is evaluated equally over a certain period of time. However, such normalization was not applied in this study, but this issue is considered an area of improvement that can be addressed in future research. In the future, a more fair and balanced analysis of the impact of publications can be achieved using citation metrics normalized by year. The interaction between optimization algorithms and engineering principles increases the safety and durability of structures while minimizing costs. Optimization techniques such as evolutionary algorithms, when combined with engineering knowledge, provide more effective and reliable results in seismic design. In this way, deficiencies and incorrect results that may arise when engineering principles are not taken into account are prevented.