@article{(Open Science Index):https://publications.waset.org/pdf/9998840,
	  title     = {A Case Study of Bee Algorithm for Ready Mixed Concrete Problem},
	  author    = {W. Wongthatsanekorn and  N. Matheekrieangkrai},
	  country	= {},
	  institution	= {},
	  abstract     = {This research proposes Bee Algorithm (BA) to
optimize Ready Mixed Concrete (RMC) truck scheduling problem
from single batch plant to multiple construction sites. This problem is
considered as an NP-hard constrained combinatorial optimization
problem. This paper provides the details of the RMC dispatching
process and its related constraints. BA was then developed to
minimize total waiting time of RMC trucks while satisfying all
constraints. The performance of BA is then evaluated on two
benchmark problems (3 and 5construction sites) according to
previous researchers. The simulation results of BA are compared in
term of efficiency and accuracy with Genetic Algorithm (GA) and all
problems show that BA approach outperforms GA in term of
efficiency and accuracy to obtain optimal solution. Hence, BA
approach could be practically implemented to obtain the best
schedule.
},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {8},
	  number    = {7},
	  year      = {2014},
	  pages     = {1253 - 1258},
	  ee        = {https://publications.waset.org/pdf/9998840},
	  url   	= {https://publications.waset.org/vol/91},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 91, 2014},
	}