Duc Quang Vu and Van Truong Nguyen and Xuan-Huan Hoang (2016) An Improved Artiﬁcial Immune Network For Solving Construction Site Layout Optimization. In: RIVF 2016.
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)|
|Deposited By:||Dr Ngoc Thang Bui|
|Deposited On:||29 Dec 2016 08:26|
|Last Modified:||29 Dec 2016 08:26|
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