Research output per year
Research output per year
Personal profile
Research Interests
Evolutionary Computation, Optimization, Data Science, Machine Learning, Neural Networks, Meta-heuristics, Robust optimization, multi-objective optimization, Feature selection.
Research Profile
Seyedali Mirjalili is a Professor at the Center for Artificial Intelligence Research and Optimization at Torrens University. He has gained international recognition for his contributions to nature-inspired artificial intelligence techniques, with over 600 published works that have received more than 110,000 citations and an H-index of 110. He has been on the list of the top 1% of highly-cited researchers since 2019, and Web of Science named him one of the most influential researchers in the world. In 2022 and 2023, The Australian newspaper recognized him as a global leader in Artificial Intelligence and a national leader in the Evolutionary Computation and Fuzzy Systems fields. He serves as a senior member of IEEE and holds editorial positions at several top AI journals, including Engineering Applications of Artificial Intelligence, Applied Soft Computing, Neurocomputing, Advances in Engineering Software, Computers in Biology and Medicine, Healthcare Analytics, Applied Intelligence, and Decision Analytics.
URL
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, PhD, Griffith University Queensland
Award Date: 1 Jan 2016
Keywords
- QA76 Computer software
- Optimization
- Algorithm
- Artificial Intelligence
- Machine Learning
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Accurate fault section diagnosis of power systems with a binary adaptive quadratic interpolation learning differential evolution
Liu, X., Xiong, G. & Mirjalili, S., Aug 2024, In: Reliability Engineering and System Safety. 248, 110192.Research output: Contribution to journal › Article › peer-review
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A Critical Review of Moth-Flame Optimization Algorithm and Its Variants: Structural Reviewing, Performance Evaluation, and Statistical Analysis
Zamani, H., Nadimi-Shahraki, M. H., Mirjalili, S., Soleimanian Gharehchopogh, F. & Oliva, D., 2024, In: Archives of Computational Methods in Engineering.Research output: Contribution to journal › Review article › peer-review
15 Citations (Scopus) -
ADE: advanced differential evolution
Abbasi, B., Majidnezhad, V. & Mirjalili, S., 2024, In: Neural Computing and Applications.Research output: Contribution to journal › Article › peer-review
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A Decision Support Framework for Resilient and Sustainable Service Design
Chowdhury, M. M. H., Aliahmadi, S. Z., Quaddus, M. A., Ansaripoor, A. H. & Mirjalili, S., 2024, In: Global Journal of Flexible Systems Management.Research output: Contribution to journal › Article › peer-review
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Aerodynamic Modelling of Saab 340B Development Using Binary Particle Swarm Optimization
Millidere, M., Alam, M., Place, S., Mirjalili, S. & Whidborne, J., 2024, AIAA SciTech Forum and Exposition, 2024. American Institute of Aeronautics and Astronautics Inc. (AIAA), (AIAA SciTech Forum and Exposition, 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus)