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

被引：42

作者：

Czerniak, Jacek M. ^{[1
]}

Zarzycki, Hubert ^{[2
]}

Ewald, Dawid ^{[1
]}

机构：

[1] Casimir Great Univ Bydgoszcz, Dept Comp Sci, AIRlab Artificial Intelligence & Robot Lab, Ul Chodkiewicza 30, PL-85064 Bydgoszcz, Poland

[2] Wroclaw Sch Informat Technol, Dept Comp Sci, Ul Wejherowska 28, PL-54239 Wroclaw, Poland

来源：

SIMULATION MODELLING PRACTICE AND THEORY | 2017年 / 76卷

关键词：

Artificial acari optimization AAO; Simulations; Swarm intelligence; MBO; BCO; ABC; ALGORITHM;

D O I：

10.1016/j.simpat.2017.04.001

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 MO results were made and introduced together with the results of the ABC algorithm. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：22 / 33

页数：12

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