S
Seyed Mohammad Mirjalili
Researcher at Concordia University
Publications - 33
Citations - 17465
Seyed Mohammad Mirjalili is an academic researcher from Concordia University. The author has contributed to research in topics: Particle swarm optimization & Heuristic (computer science). The author has an hindex of 16, co-authored 33 publications receiving 9815 citations. Previous affiliations of Seyed Mohammad Mirjalili include Shahid Beheshti University.
Papers
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Grey Wolf Optimizer
TL;DR: The results of the classical engineering design problems and real application prove that the proposed GWO algorithm is applicable to challenging problems with unknown search spaces.
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Salp Swarm Algorithm
Seyedali Mirjalili,Amir H. Gandomi,Seyedeh Zahra Mirjalili,Shahrzad Saremi,Hossam Faris,Seyed Mohammad Mirjalili +5 more
TL;DR: The qualitative and quantitative results prove the efficiency of SSA and MSSA and demonstrate the merits of the algorithms proposed in solving real-world problems with difficult and unknown search spaces.
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Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
TL;DR: This paper proposes a novel nature-inspired algorithm called Multi-Verse Optimizer, based on three concepts in cosmology: white hole, black hole, and wormhole, which outperforms the best algorithms in the literature on the majority of the test beds.
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Multi-objective grey wolf optimizer
TL;DR: A novel multi-objective algorithm called Multi-Objective Grey Wolf Optimizer (MOGWO) is proposed in order to optimize problems with multiple objectives for the first time.
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Binary bat algorithm
TL;DR: The proposed binary bat algorithm (BBA) is able to significantly outperform others on majority of the benchmark functions and there is a real application of the proposed method in optical engineering called optical buffer design that evidence the superior performance of BBA in practice.