Teacher | Dalian University of Foreign Languages | China
Assoc. Prof. Dr. Zongran Dong, affiliated with Dalian Neusoft University of Information, China, is an expert in computational optimization and heuristic algorithms, with a focus on practical applications in logistics and industrial engineering. His research emphasizes the development and refinement of metaheuristic methods, including tabu search, to address complex operational challenges such as container-loading optimization, demonstrating both algorithmic innovation and real-world applicability. Despite a concise publication record of 3 peer-reviewed works, his research has garnered 58 citations and of 2 h-index, reflecting recognition and engagement within the scholarly community. Collaborating with six co-authors, Dong has contributed to interdisciplinary knowledge exchange that bridges computer science, applied mathematics, and engineering, enhancing the robustness and impact of his work. His contributions hold relevance for industrial practice, supporting efficiency, resource optimization, and sustainability in logistics and supply-chain systems. Overall, Dong’s research embodies a targeted, application-driven approach that advances intelligent optimization methods and demonstrates measurable influence on both academic research and operational industries worldwide.
Profiles: Scopus | ORCID
Featured Publication
1. A tabu search algorithm for container loading based on homogeneous blocks. (2011). Gaojishu Tongxin
Cited by: 1
Assoc. Prof. Dr. Zongran Dong’s research advances intelligent optimization techniques that enhance efficiency in global logistics and industrial operations. By improving algorithmic performance in container-loading and related systems, his work supports more sustainable, cost-effective, and data-driven decision-making across industries.
