Honeybees-inspired heuristic algorithms for numerical optimisation

Swarm BLOCKIN BLOCKIN intelligence BLOCKIN BLOCKIN is BLOCKIN BLOCKIN all BLOCKIN BLOCKIN about BLOCKIN BLOCKIN developing BLOCKIN BLOCKIN collective BLOCKIN BLOCKIN behaviours BLOCKIN BLOCKIN to BLOCKIN BLOCKIN solve BLOCKIN BLOCKIN complex, BLOCKIN BLOCKIN ill-­‐structured BLOCKIN BLOCKIN and BLOCKIN BLOCKIN large-­‐ scale problems. Efficiency in collective behaviours depends on how to harmonise the individual contributions so that a complementary collective effort can be achieved to offer a useful solution. The main points in organising the harmony remains as managing the diversification and intensification actions appropriately, where the efficiency of collective behaviours depends on blending these two actions appropriately. BLOCKIN BLOCKIN In BLOCKIN BLOCKIN this BLOCKIN BLOCKIN study, BLOCKIN BLOCKIN two BLOCKIN BLOCKIN swarm BLOCKIN BLOCKIN intelligence BLOCKIN BLOCKIN algorithms BLOCKIN BLOCKIN inspired BLOCKIN BLOCKIN of BLOCKIN BLOCKIN natural BLOCKIN BLOCKIN honeybee BLOCKIN BLOCKIN colonies BLOCKIN BLOCKIN have been overviewed with many respects and two new revisions and a hybrid version have been studied to improve the efficiencies in solving numerical optimisation problems, which are well-­‐known hard benchmarks. Consequently, the revisions and especially the hybrid algorithm proposed have outperformed the two original bee algorithms in solving these very hard numerical optimisation benchmarks.