Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization
By Seyedali Mirjalili, Shahrzad Saremi, Leandro dos S. Coelho. Expert systems with applications, 2016
1,653 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/1fb44ce4381febc34a756bfe0f2867eb73e43f35
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Tansel Dökeroğlu
- Ibrahim Aljarah
- Ahmet Cosar
- Tayfun Kucukyilmaz
- Ender Sevinç
- Hossam Faris
- Mohammed Azmi Al-Betar
- Kusum Deep
In Computational Theory and Mathematics
- Tansel Dökeroğlu
- Hossam Faris
- Ibrahim Aljarah
- Ahmet Cosar
- Tayfun Kucukyilmaz
- Ender Sevinç
- Mohammed Azmi Al-Betar
- Kusum Deep
Citations in the corpus
- A robust fuzzy approach for constrained multi-product economic production quantity with imperfect items and rework process (2019, methodology): “To do this, a roulette-wheel is used over the following probability for each hypercube [51]:”
- A survey on new generation metaheuristic algorithms (2019, methodology): “Population-based Sine Cosine Optimization Algorithm (SCA) is proposed by Mirjalili (2016b).”
- A novel Random Walk Grey Wolf Optimizer (2019, methodology): “[25] Mirjalili developed the GWO for multi-objective optimization problems.”
- Grey wolf optimizer: a review of recent variants and applications (2017, background): “Due to the existence of multiple best solutions—so-called Pareto optimal solutions—in multi-objective problems, several modifications were made to GWO [84].”
- A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems (2021, methodology): “For example: MOPSO [215], MODE [216], [217], MOACO [218] and MOABC [219], MOGWO [220], MOEA \ D [221].”