| Summary: | This research proposes a systematic model by using bee algorithm to optimize ready mixed concrete truck scheduling
problem from a single plant to multiple sized receivers in a large search space using uncertain factors of bee algorithm
compared to genetic algorithm. The objective is to minimize the total waiting durations of RMC trucks. Four benchmark
problems with 3, 5, 9 and 12 construction sites are evaluated. Furthermore, eight additional problems are created from the
previous four problems by varying demands and traveling durations, in order to prove the algorithm accuracy and efficiency.
Hence, a total of 12 problems would be solved using both BA and GA. The simulation results show that the BA approach
can get lower total waiting durations and faster than GA for all problems. This research offers a more efficient alternative for
solving RMC truck scheduling.
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