This paper describes a newhybrid algorithmextracted fromhoney beemating optimization (HBMO) algorithm(for robot travelling
distance minimization) and tabu list technique (for obstacle avoidance) for team robot system. This algorithm was implemented
in a C++ programming language on a Pentium computer and simulated on simple cylindrical robots in a simulation software.The
environment in this simulation was dynamic with moving obstacles and goals. The results of simulation have shown validity and
reliability of new algorithm. The outcomes of simulation have shown better performance than ACO and PSO algorithm (society,
nature algorithms) with respect to two well-known metrics included, ATPD (average total path deviation) and AUTD (average
uncovered target distance).
