Henry gas solubility optimization

Henry gas solubility optimization: A novel physics-based algorithm
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Updated 19 Jul 2019

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Several metaheuristic optimization algorithms have been developed to solve the real-world problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas solubility optimization (HGSO), which mimics the behavior governed by Henry’s law to solve challenging optimization problems. Henry’s law is an essential gas law relating the amount of a given gas that is dissolved to a given type and volume of liquid at a fixed temperature. The HGSO algorithm imitates the huddling behavior of gas to balance exploitation and exploration in the search space and avoid local optima.
The performance of HGSO is tested on 47 benchmark functions, CEC’17 test suite, and three real-world optimization problems. The results are compared with seven well-known algorithms; the particle swarm optimization (PSO), gravitational search algorithm (GSA), cuckoo search algorithm (CS), grey wolf optimizer (GWO), whale optimization algorithm (WOA), elephant herding algorithm (EHO) and simulated annealing (SA). Additionally, to assess the pairwise statistical performance of the competitive algorithms, a Wilcoxon rank-sum test is conducted. The experimental results revealed that HGSO provides competitive and superior results compared to other algorithms when solving challenging optimization problems.

Main paper:
https://www.sciencedirect.com/science/article/pii/S0167739X19306557

https://www.researchgate.net/publication/334404630_Henry_gas_solubility_optimization_A_novel_physics-based_algorithm

Henry gas solubility optimization: a novel physics-based algorithm
Henry Gas Solubility Optimization (HGSA) is a novel metaheuristic algorithm named Henry gas solubility optimization (HGSO), which mimics the behavior governed by Henry's law to solve challenging optimization problems. Henry's law is an essential gas law relating the amount of a given gas that is dissolved to a given type and volume of liquid at a fixed temperature.

Developed in MATLAB R2014a
Authors:
\author[mymainaddress]{Fatma A. Hashim}
\author[Add2]{Essam H. Houssein}
\author[Add3]{Mai S. Mabrouk}
\author[mymainaddress]{Walid Al-Atabany}
\author[Add4]{Seyedali Mirjalili}

The files in this zip archive are MATLAB m-files that can be used to study Henry Gas Solubility Optimization (HGSA) algorithm.
Homepage: http://www.alimirjalili.com/sourcecodes/HGSO.rar

Hashim, Fatma A., Essam H. Houssein, Mai S. Mabrouk, Walid Al-Atabany, and Seyedali Mirjalili. "Henry gas solubility optimization: A novel physics-based algorithm." Future Generation Computer Systems (2019).

Cite As

Hashim, Fatma A., Essam H. Houssein, Mai S. Mabrouk, Walid Al-Atabany, and Seyedali Mirjalili. "Henry gas solubility optimization: A novel physics-based algorithm." Future Generation Computer Systems (2019).

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Version Published Release Notes
1.0.0