Vu, Duc Quang and Nguyen, Van Truong and Hoang, Xuan-Huan (2016) An Improved Artificial Immune Network For Solving Construction Site Layout Optimization. In: RIVF 2016.
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Abstract
Nature-inspired algorithms are often used to find optimal solutions for many combinatorial problems. An immune inspired algorithm, opt-aiNet algorithm, is well known for func- tion optimization. In this paper, we develop a combination of local search with opt-aiNet, called lopt-aiNet, to solve construction site layout (CSL) problem. The effectiveness of the proposed algorithm is investigated through experiments on some datasets taken from the state-of-art and a randomly created dataset. Ex- perimental results show that the lopt-aiNet can produce optimal transportation cost with lower run time compared to the site layouts generated by metaheuristics: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and aiNet.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Information Technology (IT) |
| Divisions: | Faculty of Information Technology (FIT) |
| Depositing User: | Dr Ngoc Thang Bui |
| Date Deposited: | 29 Dec 2016 08:26 |
| Last Modified: | 29 Dec 2016 08:26 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/2369 |
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