Multi-objective Optimization of Construction Projects Based on Ant Colony Algorithm

DOI

10.2991/978-94-6463-398-6_31How to use a DOI?

Keywords

Ant colony algorithm; Construction engineering; Multi-objective optimization

Abstract

To understand the multi-objective optimization of construction projects, a multi-objective optimization study of construction projects based on ant colony algorithm has been proposed. This paper first proposes a multi colony ant colony particle swarm fusion algorithm, and conducts empirical research on the algorithm based on a subway project example. Based on the analysis of the solution effectiveness, it is concluded that this algorithm obtains more Pareto solution sets than the basic ant colony algorithm when solving multi-objective joint optimization problems, and can be applied to integrated management of construction projects.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Jin Chen
PY  - 2024
DA  - 2024/04/24
TI  - Multi-objective Optimization of Construction Projects Based on Ant Colony Algorithm
BT  - Proceedings of the 2023 5th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2023)
PB  - Atlantis Press
SP  - 314
EP  - 321
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-398-6_31
DO  - 10.2991/978-94-6463-398-6_31
ID  - Chen2024
ER  -