# Exploring Evolutionary Algorithms for Multi-Objective Optimization in Seismic Structural Design
Since renewable energy systems involve a large number of optimization problems, this field plays an important role in the application of multi-objective optimization techniques. The study analyzed the most influential publications in this field, collaboration networks, and potential research topics for the future. [PERSON] et al. examined the use of genetic algorithms (GAs) in multi-objective optimization problems through bibliometric analysis. The study analyzed how GAs are used in various engineering and scientific applications, that researchers have focused on in this field, and which topics are most studied [16]. [PERSON] and [PERSON] conduct a bibliometric analysis of research on multi-objective optimization problems in seismic design [17]. The study examined how evolutionary algorithms are used in seismic design, the research trends in this field, and the most effective publications. The study presents a comprehensive bibliometric analysis of the application of evolutionary algorithms in seismic design within multi-objective optimization problems. It analyzes the contributions of evolutionary algorithms in this field, the most influential works in the literature, and the scientific impacts of these studies [18]. Another study conducted in 2020 presents a bibliometric analysis on the use of evolutionary algorithms in seismic design optimization. The research examined not only the most commonly used evolutionary algorithms in this field but also which application areas and problems stand out [19]. [PERSON] and [PERSON] provided an in-depth review of pushover analysis, a widely used method for evaluating the seismic performance of structures. The paper traced the development and evolution of this technique, offering a chronological overview of its use in structural engineering [20]. The bibliometric analysis tools allow researchers to systematically review and efficiently analyze scientific literature. Tools such as VOSviewer (version number 1.6.20) [21], Bibliosnity (R package, version number 4.0) [22], and CiteSpace (version number 6.3. R3) [23] are particularly powerful in visualization and knowledge mapping, while tools such as BibExcel (version number 2017) [24] and Gephi [25] offer flexibility for data processing and network analysis. HistCite (version number 12.3) [26] is ideal for examining the historical development of the literature. These differences between tools allow researchers to choose the most appropriate tool for their specific needs and analysis purposes. This study differs from others in that it used Biblioshiny software to scan both the SCOPUS and WoS databases simultaneously, allowing for a more thorough examination. It is expected to make a substantial contribution to the body of knowledge in the field in this regard. The purpose of this study was to carefully examine current research trends in evolutionary algorithms in multi-objective optimization problems in the field of seismic design. This article is organized according to the conceptual framework shown in Figure 1.  
This study was conducted under the general heading of \"What are the trends in evolutionary approaches in the seismic design process using multi-objective optimization?\" while accounting for the previously specified specifics.