Water cycle, mine blast and improved mine blast algorithms for discrete sizing optimization of truss structures

Ali Sadollah; Hadi Eskandar; Ardeshir Bahreininejad; Joong Hoon Kim

doi:10.1016/j.compstruc.2014.12.003

Water cycle, mine blast and improved mine blast algorithms for discrete sizing optimization of truss structures

Ali Sadollah, Hadi Eskandar, Ardeshir Bahreininejad, Joong Hoon Kim

School of Civil, Environmental and Architectural Engineering

Research output: Contribution to journal › Article › peer-review

103 Citations (Scopus)

Abstract

This paper presents the applications of the mine blast algorithm (MBA) and the water cycle algorithm (WCA), in addition to an improved version of MBA for weight minimization of truss structures including discrete sizing variables. The MBA mimics the explosion of landmines, while the WCA is inspired by the observation of water cycle process. An improved version of MBA (IMBA), is also presented. The efficiency of the three optimization algorithms is tested using classical benchmark discrete truss design problems. Optimization results show that MBA, IMBA, and WCA offer a good degree of competitiveness against other state-of-the-art metaheuristic techniques.

Original language	English
Pages (from-to)	1-16
Number of pages	16
Journal	Computers and Structures
Volume	149
DOIs	https://doi.org/10.1016/j.compstruc.2014.12.003
Publication status	Published - 2015 Mar

Keywords

Discrete variables
Mine blast algorithm
Sizing optimization
Truss structures
Water cycle algorithm

ASJC Scopus subject areas

Civil and Structural Engineering
Modelling and Simulation
Materials Science(all)
Mechanical Engineering
Computer Science Applications

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10.1016/j.compstruc.2014.12.003

Cite this

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title = "Water cycle, mine blast and improved mine blast algorithms for discrete sizing optimization of truss structures",

abstract = "This paper presents the applications of the mine blast algorithm (MBA) and the water cycle algorithm (WCA), in addition to an improved version of MBA for weight minimization of truss structures including discrete sizing variables. The MBA mimics the explosion of landmines, while the WCA is inspired by the observation of water cycle process. An improved version of MBA (IMBA), is also presented. The efficiency of the three optimization algorithms is tested using classical benchmark discrete truss design problems. Optimization results show that MBA, IMBA, and WCA offer a good degree of competitiveness against other state-of-the-art metaheuristic techniques.",

keywords = "Discrete variables, Mine blast algorithm, Sizing optimization, Truss structures, Water cycle algorithm",

author = "Ali Sadollah and Hadi Eskandar and Ardeshir Bahreininejad and Kim, {Joong Hoon}",

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AU - Bahreininejad, Ardeshir

AU - Kim, Joong Hoon

N1 - Funding Information: This work was supported by a National Research Foundation of Korea (NRF) Grant funded by the Korean government (MSIP) (NRF- 2013R1A2A1A01013886). Publisher Copyright: © 2014 Elsevier Ltd. All rights reserved.

PY - 2015/3

Y1 - 2015/3

N2 - This paper presents the applications of the mine blast algorithm (MBA) and the water cycle algorithm (WCA), in addition to an improved version of MBA for weight minimization of truss structures including discrete sizing variables. The MBA mimics the explosion of landmines, while the WCA is inspired by the observation of water cycle process. An improved version of MBA (IMBA), is also presented. The efficiency of the three optimization algorithms is tested using classical benchmark discrete truss design problems. Optimization results show that MBA, IMBA, and WCA offer a good degree of competitiveness against other state-of-the-art metaheuristic techniques.

AB - This paper presents the applications of the mine blast algorithm (MBA) and the water cycle algorithm (WCA), in addition to an improved version of MBA for weight minimization of truss structures including discrete sizing variables. The MBA mimics the explosion of landmines, while the WCA is inspired by the observation of water cycle process. An improved version of MBA (IMBA), is also presented. The efficiency of the three optimization algorithms is tested using classical benchmark discrete truss design problems. Optimization results show that MBA, IMBA, and WCA offer a good degree of competitiveness against other state-of-the-art metaheuristic techniques.

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KW - Truss structures

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Water cycle, mine blast and improved mine blast algorithms for discrete sizing optimization of truss structures

Abstract

Keywords

ASJC Scopus subject areas

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