AAO as a new strategy in modeling and simulation of constructional problems optimization

•The article presents a new metaheuristics named Artificial Acari Optimization (AAO).•Metaheuristics belongs to the Swarm Intelligence and is inspired by Acari species.•Simulations based on Acari social behavior of Macrocheles Glaber species.•AAO method was tested with five well-known structural pro...

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Bibliographic Details
Published in:Simulation modelling practice and theory 2017-08, Vol.76, p.22-33
Main Authors: Czerniak, Jacek M., Zarzycki, Hubert, Ewald, Dawid
Format: Article
Language:English
Subjects:
AAO
ABC
Artificial acari optimization
BCO
MBO
Simulations
Swarm intelligence
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Summary:•The article presents a new metaheuristics named Artificial Acari Optimization (AAO).•Metaheuristics belongs to the Swarm Intelligence and is inspired by Acari species.•Simulations based on Acari social behavior of Macrocheles Glaber species.•AAO method was tested with five well-known structural problems.•Benchmarks: Welded beam, Pressure Vessel, Speed Reducer, Spring Design, Gear Train. The article presents a new multi-criteria optimization method called Artificial Acari Optimization (AAO). AAO method was tested with five well-known benchmark structural problems i.e.: welded beam, pressure vessel, speed reducer, spring design and gear train problem. The results were compared on other representatives of Swarm Intelligence mainstream which are bee algorithms MBO, BCO and ABC. Numerous references show dominance of ABC over MBO and BCO. To check this, a detailed comparisons of AAO results were made and introduced together with the results of the ABC algorithm.
ISSN:1569-190X
1878-1462
DOI:10.1016/j.simpat.2017.04.001