Assist. Prof. Dr. Vahid Goodarzimehr | Optimization | Best Researcher Award
Assistant professor | Shahid Chamran University of Ahvaz | Iran
Dr. Vahid Goodarzimehr is a pioneering researcher in computational mechanics, structural optimization, and metaheuristic algorithms, with his groundbreaking work inspired by Einstein’s theory of relativity. He introduced the Special Relativity Search (SRS) algorithm — a novel metaheuristic method that simulates relativistic physics to solve complex engineering and mathematical optimization problems. His research integrates artificial intelligence, optimization theory, and physics-based modeling to advance dynamic and structural design systems. With publications in top-tier Q1 journals such as Knowledge-Based Systems, Computer Methods in Applied Mechanics and Engineering, and Engineering Structures, Dr. Goodarzimehr has established himself as a leading innovator in physics-inspired computational optimization. His algorithms like SRS, MOSRS, and SABO have significantly influenced the next generation of engineering problem-solving tools.
Profiles: Scopus | Orcid | Google Scholar
Featured Publications
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Goodarzimehr, V., Shojaee, S., Hamzehei-Javaran, S., & Talatahari, S. (2022). Special relativity search: A novel metaheuristic method based on special relativity physics. Knowledge-Based Systems, 257, 109484. Citation count: 101.
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Omidinasab, F., & Goodarzimehr, V. (2020). A hybrid particle swarm optimization and genetic algorithm for truss structures with discrete variables. Journal of Applied and Computational Mechanics, 6(3), 593–604. Citation count: 64.
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Goodarzimehr, V., Topal, U., Das, A. K., & Vo-Duy, T. (2023). Bonobo optimizer algorithm for optimum design of truss structures with static constraints. Structures, 50, 400–417. Citation count: 37.
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Goodarzimehr, V., Talatahari, S., Shojaee, S., & Hamzehei-Javaran, S. (2023). Special relativity search for applied mechanics and engineering. Computer Methods in Applied Mechanics and Engineering, 403, 115734. Citation count: 35.
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Talatahari, S., Goodarzimehr, V., & Taghizadieh, N. (2020). Hybrid teaching-learning-based optimization and harmony search for optimum design of space trusses. Journal of Optimization in Industrial Engineering, 13(1), 177–194. Citation count: 32.