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.
Personal profile
Seyedali (Ali) Mirjalili is an Associate Professor at Torrens University Center for Artificial Intelligence Research and Optimization and internationally recognized for his advances in nature-inspired Artificial Intelligence (AI) techniques. He is the author of more than 150 publications including five books, 100 journal articles, 20 conference papers, and 30 book chapters. With over 15,000 citations and H-index of 45, he is one of the most influential AI researchers in the world. From Google Scholar metrics, he is globally the most cited researcher in Optimization using AI techniques, which is his main area of expertise. He has been the keynote speaker of several international conferences and is serving as an associate editor of top AI journals including Neurocomputing, Applied Soft Computing, Advances in Engineering Software, Applied Intelligence, IEEE Access, and the Journal of Algorithms.
URL
Education/Academic qualification
Computer Science, PhD, Griffith University Queensland
Award Date: 1 Jan 2016
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Research Output
A harmonic estimator design with evolutionary operators equipped grey wolf optimizer
Saxena, A., Kumar, R. & Mirjalili, S., 1 May 2020, In : Expert Systems with Applications. 145, 113125.Research output: Contribution to journal › Article
1
Citation
(Scopus)
A modified Sine Cosine Algorithm with novel transition parameter and mutation operator for global optimization
Gupta, S., Deep, K., Mirjalili, S. & Kim, J. H., 15 Sep 2020, In : Expert Systems with Applications. 154, 113395.Research output: Contribution to journal › Article
A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection
Abdel-Basset, M., El-Shahat, D., El-henawy, I., de Albuquerque, V. H. C. & Mirjalili, S., 1 Jan 2020, In : Expert Systems with Applications. 139, 112824.Research output: Contribution to journal › Article
9
Citations
(Scopus)
Ant colony optimizer: Theory, literature review, and application in AUV path planning
Mirjalili, S., Song Dong, J. & Lewis, A., 1 Jan 2020, Studies in Computational Intelligence. Springer Verlag, p. 7-21 15 p. (Studies in Computational Intelligence; vol. 811).Research output: Chapter in Book/Report/Conference proceeding › Chapter
5
Citations
(Scopus)
Ant lion optimizer: Theory, literature review, and application in multi-layer perceptron neural networks
Heidari, A. A., Faris, H., Mirjalili, S., Aljarah, I. & Mafarja, M., 1 Jan 2020, Studies in Computational Intelligence. Springer Verlag, p. 23-46 24 p. (Studies in Computational Intelligence; vol. 811).Research output: Chapter in Book/Report/Conference proceeding › Chapter
8
Citations
(Scopus)