Metaheuristic research: a comprehensive survey

By Kashif Hussain, M. N. Mohd Salleh, Shi Cheng, Yuhui Shi. Artificial Intelligence Review, 2018

765 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/b3960484e3d71dccbf015889f4dfc83d4795e36e

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

In Computational Theory and Mathematics

In Control and Systems Engineering

Citations in the corpus

Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems (2022, background): “Due to these advantages, the application of metaheuristics can be found in different branches of science and industry [28,34].”
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems (2021, methodology): “The formulation and solution of optimization problems through the use of metaheuristics has gained an increasing popularity over the last decades within the Artiﬁcial Intelligence community [1, 2].”
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems (2020, background): “To name a few domains, drug design [5], feature selection [6], motif discovery problem [7, 8], engineering, medical, agriculture, finance and economics are among the beneficiaries [9, 10].”
Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems (2022, background): “Theoretical and mathematical models are needed for metaheuristic components like exploration versus exploitation, convergence, searching ability and local optimum versus global optimum (Hussain et al., 2019).”
Red deer algorithm (RDA): a new nature-inspired meta-heuristic (2020, methodology): “In summary, each meta-heuristic algorithm has a set of distinct characteristics and advantages in comparison with each other as follows: • The design of meta-heuristics is often based on some new mathematical theories inspired by natural laws or phenomena (Hussain et al. 2018).”
Bio-inspired computation: Where we stand and what's next (2019, neutral): “Exhaustive compendiums can be found in [29, 30].”
The Social Engineering Optimizer (SEO) (2018, neutral): “These two algorithms have been the main ones amongst around 100 developed algorithms until now (Hussain et al., 2018).”
Henry gas solubility optimization: A novel physics-based algorithm (2019, neutral): “Mere investigation and comparison of end results may not reveal the reasons behind poor or good performance [72, 74, 75].”