@article{article_769317, title={Comparing the Performance of ABC Algorithm and ACO Algorithm for Mobile Robot Path Planning in Dynamic Environments with Different Complexities}, journal={International Journal of Electronics Mechanical and Mechatronics Engineering}, volume={8}, pages={1599–1608}, year={2018}, author={Purıan, Fatemeh Khosravi and Farsadı, Murtaza}, keywords={ABC algorithm;, ACO algorithm;, Fuzzy logic;, Mobile robots; Dynamic environments.}, abstract={Mobile robot path planning is an important branch of research in robotics science. in this paper, a new approach for solving mobile robot path planning in dynamic environments, based on the Swarm Intelligence Algorithms feature of an optimized ABC algorithm is proposed. The proposed ABC will optimize the fuzzy rules’ parameters that have been used for On-line path planning in dynamic environments. In this study, there is a proposed evaluation function, accordingly, the found path is smoother and cleaner than the previous studies using other algorithms. In this research, the ABC and ACO are combined with fuzzy logic; two algorithms are compared with each other. The performance of both combined algorithms in the execution speed and the number of occurrences for obtaining the optimal path in various unknown environments have been evaluated using MATLAB simulation methods. The obtained results from the comparison of the performance of these two algorithms developed optimization algorithms for mobile robots’ path planning.}, number={4}, publisher={İstanbul Aydın Üniversitesi}