Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams

Junwei Zeng; Li Wang; Tingliang Wang; Wenzhuo Fan; Hui Gao

doi:10.1109/IEEM.2009.5373163

Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams

Junwei Zeng^*
, Li Wang
, Tingliang Wang
, Wenzhuo Fan
, Hui Gao

^*Corresponding author for this work

School of Economics and Management

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The factors that can influence the equipment optimization in filling construction of rock-fill dam are explained by analyzing the filling system of rock-fill dams in this paper, and an optimization model for equipment organization of fill construction of rock-fill dam is established, in which the minimum of unbalanced degree of filling intensity is taken as the objective function with constraint. The quantum discrete particle swarm optimization is used in the model solution. Based on the optimization model and algorithm, the hydraulic engineering construction management decision support system is developed by using an object-oriented methodology. The system is applied to a practical project successfully to obtain the optimum solution of equipment organization.

Original language	English
Title of host publication	IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages	1772-1775
Number of pages	4
DOIs	https://doi.org/10.1109/IEEM.2009.5373163
State	Published - 2009
Event	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, China Duration: 8 Dec 2009 → 11 Dec 2009

Publication series

Name	IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

Conference

Conference	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009
Country/Territory	China
City	Hong Kong
Period	8/12/09 → 11/12/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Equipment organization
Integer Programming
Leveling of production
Particle swarm optimization
Rock-fill dam

Access to Document

10.1109/IEEM.2009.5373163

Cite this

Zeng, J., Wang, L., Wang, T., Fan, W., & Gao, H. (2009). Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams. In IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1772-1775). Article 5373163 (IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management). https://doi.org/10.1109/IEEM.2009.5373163

@inproceedings{458c7d63ffab45469e4f50df73bab9a1,

title = "Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams",

abstract = "The factors that can influence the equipment optimization in filling construction of rock-fill dam are explained by analyzing the filling system of rock-fill dams in this paper, and an optimization model for equipment organization of fill construction of rock-fill dam is established, in which the minimum of unbalanced degree of filling intensity is taken as the objective function with constraint. The quantum discrete particle swarm optimization is used in the model solution. Based on the optimization model and algorithm, the hydraulic engineering construction management decision support system is developed by using an object-oriented methodology. The system is applied to a practical project successfully to obtain the optimum solution of equipment organization.",

keywords = "Equipment organization, Integer Programming, Leveling of production, Particle swarm optimization, Rock-fill dam",

author = "Junwei Zeng and Li Wang and Tingliang Wang and Wenzhuo Fan and Hui Gao",

year = "2009",

doi = "10.1109/IEEM.2009.5373163",

language = "英语",

isbn = "9781424448708",

series = "IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management",

pages = "1772--1775",

booktitle = "IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management",

note = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 ; Conference date: 08-12-2009 Through 11-12-2009",

}

Zeng, J, Wang, L, Wang, T, Fan, W & Gao, H 2009, Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams. in IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management., 5373163, IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management, pp. 1772-1775, IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009, Hong Kong, China, 8/12/09. https://doi.org/10.1109/IEEM.2009.5373163

Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams. / Zeng, Junwei; Wang, Li; Wang, Tingliang et al.
IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management. 2009. p. 1772-1775 5373163 (IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams

AU - Zeng, Junwei

AU - Wang, Li

AU - Wang, Tingliang

AU - Fan, Wenzhuo

AU - Gao, Hui

PY - 2009

Y1 - 2009

N2 - The factors that can influence the equipment optimization in filling construction of rock-fill dam are explained by analyzing the filling system of rock-fill dams in this paper, and an optimization model for equipment organization of fill construction of rock-fill dam is established, in which the minimum of unbalanced degree of filling intensity is taken as the objective function with constraint. The quantum discrete particle swarm optimization is used in the model solution. Based on the optimization model and algorithm, the hydraulic engineering construction management decision support system is developed by using an object-oriented methodology. The system is applied to a practical project successfully to obtain the optimum solution of equipment organization.

AB - The factors that can influence the equipment optimization in filling construction of rock-fill dam are explained by analyzing the filling system of rock-fill dams in this paper, and an optimization model for equipment organization of fill construction of rock-fill dam is established, in which the minimum of unbalanced degree of filling intensity is taken as the objective function with constraint. The quantum discrete particle swarm optimization is used in the model solution. Based on the optimization model and algorithm, the hydraulic engineering construction management decision support system is developed by using an object-oriented methodology. The system is applied to a practical project successfully to obtain the optimum solution of equipment organization.

KW - Equipment organization

KW - Integer Programming

KW - Leveling of production

KW - Particle swarm optimization

KW - Rock-fill dam

UR - https://www.scopus.com/pages/publications/77949504536

U2 - 10.1109/IEEM.2009.5373163

DO - 10.1109/IEEM.2009.5373163

M3 - 会议稿件

AN - SCOPUS:77949504536

SN - 9781424448708

T3 - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

SP - 1772

EP - 1775

BT - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009

Y2 - 8 December 2009 through 11 December 2009

ER -

Zeng J, Wang L, Wang T, Fan W, Gao H. Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams. In IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management. 2009. p. 1772-1775. 5373163. (IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management). doi: 10.1109/IEEM.2009.5373163

Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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