A novel atom search optimization for dispersion coefficient estimation in groundwater

A new type of meta-heuristic global optimization methodology based on atom dynamics is introduced. The proposed Atom Search Optimization (ASO) approach is a population-based iterative heuristic global optimization algorithm for dealing with a diverse set of optimization problems. ASO mathematically...

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Vydáno v:Future generation computer systems Ročník 91; s. 601 - 610
Hlavní autoři: Zhao, Weiguo, Wang, Liying, Zhang, Zhenxing
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.02.2019
Témata:
Atom search optimization
Dispersion coefficient
Global optimization
Heuristic algorithm
Metaheuristic
Optimization algorithm
Parameter estimation
Optimization algorithm
Parameter estimation
Global optimization
Metaheuristic
Heuristic algorithm
Dispersion coefficient
Atom search optimization
ISSN:0167-739X, 1872-7115
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Shrnutí:A new type of meta-heuristic global optimization methodology based on atom dynamics is introduced. The proposed Atom Search Optimization (ASO) approach is a population-based iterative heuristic global optimization algorithm for dealing with a diverse set of optimization problems. ASO mathematically models and mimics the atomic motion model in nature, where atoms interact with each other through interaction forces resulting form Lennard-Jones potential and constraint forces resulting from bond-length potential, the algorithm is simple and easy to implement. ASO is applied to a dispersion coefficient estimation problem, the experimental results demonstrate that ASO can outperform other well-known approaches such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Bacterial Foraging Optimization (BFO) and that ASO is competitive to its competitors for parameter estimation problems. The source codes of ASO are available at https://www.mathworks.com/matlabcentral/fileexchange/67011-atom-search-optimization--aso--algorithm?s_tid=srchtitle. •A novel optimization algorithm called Atom Search Optimization (ASO) is proposed.•The ASO is applied to dispersion coefficient estimation problem in groundwater.•The results on dispersion coefficient estimation confirm the competitiveness of ASO.
ISSN:0167-739X
1872-7115
DOI:10.1016/j.future.2018.05.037