HBMO

proposed MBO algorithm as honey bee mating optimization (HBMO) algorithm and implemented it on water resources management applications [18].

For 10, 50,100, and 1000 problem sizes of unconstrained numeric six benchmark functions, comparisons were made between test results of IMBO algorithm and the algorithms in literature, including DE, PSO, ABC [32], bee swarm optimization, (BSO) [33], bee and foraging algorithm (BFA) [34], teaching-learning-based optimization (TLBO) [35], bumble bees mating optimization (BBMO) [36] and honey bees mating optimization algorithm (HBMO) [36].

In Tables 9 and 10 showing the comparison of IMBO with LBO, HBMO, and BBMO for genotype (problem) size 50, it is seen that IMBO performs better than all the other algorithms.