en Deep Learning Deep Learning Only for Articles of ICEMD2024 Only for Articles of ICEMD2024 <span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">In recent years, due to the increase in electricity generation, the need for optimized Wound Rotor Synchronous Generators (WRSGs) has been felt more than ever. One of the important characteristics of a generator in a power system is its voltage harmonics. In addition to this, the amount of generated power and efficiency are also important. The goal of this research is multi-objective design using dampers, with improved number and shape. WRSGs have been selected as a case study. With the help of surrogate modeling and the PSO algorithm, which are more efficient and accurate than classical methods, the final design has been presented. In the end, the comparison of the initial and final designs shows the realization of all goals. Also, economic issues in terms of the selection of damper material have been investigated.</span></span> wound rotor synchronous generator (WRSG), multi-objective optimization, surrogate modeling, damper design, total harmonic distortion (THD). 173 183 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5811-1&slc_lang=en&sid=1 Ali Amini ali77amini@gmail.com 1800319475328460017418 1800319475328460017418 No School of electrical engineering, Iran University of Science and Technology Tehran, Iran. Farshid Mahmouditabar farshid.mahmouditabar@newcastle.ac.uk 1800319475328460017419 1800319475328460017419 Yes School of Engineering, Newcastle University, Newcastle Upon Tyne, UK. Nick Baker nick.baker@newcastle.ac.uk 1800319475328460017420 1800319475328460017420 No School of Engineering, Newcastle University, Newcastle Upon Tyne, UK. Abolfazl Vahedi avahedi@iust.ac.ir 1800319475328460017421 1800319475328460017421 No School of electrical engineering, Iran University of Science and Technology Tehran, Iran.