Optimization of construction site layout using dynamic hybrid bacterial and ant colony algorithm

The efficient plan of site arrangement during the construction phase has been considered a vital duty to successful project performance due productivity enhancement as well safety in executions. optimization Construction Site Layout Problem (CSLP) is combinatorial complexity that regards numerous objectives and considerable growth scale increasing constraints facilities. rearrangement on may thus need be had dynamic plannings at several interval schedules evolves accommodate needs. To resolve this problem, many studies based Meta-heuristic approach have done, there are however always drawbacks should improved more optimal. This research proposes new Hybrid model which combination Ant Colony Optimization algorithm (ACO), Bacterial foraging (BFA), Pair-Wise Exchange Heuristic (PWEH). proposed named Dynamic Algorithm (DHACA) can enhance local global searches simultaneously. In addition, parameter values optimized create better solution. also demonstrates effectiveness DHACA compared with previous such Multi-objectives Genetic (MOGA), Simulated Annealing (SA-based MOGA) CSLP. supports planning facilities improve work efficiency.