# Exploring Evolutionary Algorithms for Multi-Objective Optimization in Seismic Structural Design
## 5 Discussion  
This study used extensive amounts of bibliographic data from the Scopus and WoS databases to provide detailed quantitative information on the global research topic of evolutionary algorithms in multi-objective optimization problems in the field of seismic design. The yearly number of publications increased from 29 in 2017 to 72 in 2023, indicating a significant increase in academic interest despite the field being relatively new. The findings of a small number of studies using bibliometric analysis to investigate evolutionary algorithms in multi-objective optimization problems in the field of seismic design point to a similar tendency [17; 18; 19]. As illustrated in Figure 3, the quantity of scientific research has been irregular up until the last six years, regardless of an increase in publications. Figure 8: A three-field diagram illustrating the network with institutions on the left, countries in the middle, and journals on the right. Iran is the most productive country among the 46 countries and regions examined, accounting for 25% of all publications. There could be several reasons for the disparities in publication output between different countries. According to a correlational study based on 5275 original papers published in the top five general medical journals between 1996 and 2001, there was a strong relationship between publishing output and research funding levels as well as English fluency [82]. A recent study using data at the national level revealed a significant correlation between a nation's Internet penetration and the volume of research produced [83]. International collaboration in science is becoming more and more popular worldwide [84]. Based on Figure 3, China ranked first in terms of collaboration, especially with the USA. Tongji University and Dalian University of Technology produced 47.7% of all articles from China, according to the three-field plot. However, publications from the USA had an average article citation of 25.9, which was slightly higher than the 14.4 from Iran, if examining the total number of citations. Publications on the multi-objective optimization of structural systems with seismic design using evolutionary computation, metaheuristics, and nature-inspired algorithms have been published in 256 sources overall. With a contribution of 9.2%, _Engineering Structures_ published the greatest number of articles in total. The most cited original article by [PERSON] et al. published in 2019 is a review article that presents a review of design strategies of viscous dampers for the seismic protection of building structures [70]. Five highly connected clusters were seen, based on the findings of the co-occurrence network analysis for author keywords. The main cluster (green) is connected to terms related to structural optimization, performance-based design, and seismic design. The next highly connected cluster (blue) is concerned mostly with optimization techniques and control, including the genetic algorithm, particle swarm optimization, vibration control, and structural control. There are extremely few internal and international collaborations between academics from various nations. The author's collaboration network displays 37 academics (Figure 4). The cross-country collaboration network only has 26 countries mapped (Figure 7). Furthermore, there is either very little or no cooperation between multiple groups. This result implies that in order to support the advancement of this field of study, significantly stronger collaboration will need to be developed in the future. Organizing more conferences is a smart strategy to gain awareness because they serve as excellent platforms for academics to network and exchange ideas. Scholars working on this topic should focus more on improving the quality of their future work, even though there is a great possibility for increased academic interest from the community in the near future.