Celik, YukselUlker, Erkan2020-03-262020-03-2620121349-41981349-418Xhttps://hdl.handle.net/20.500.12395/27671In the travelling salesman problem (TSP), a travelling salesman completes a tour of "n" number of cities by stopping once in each city and completes the tour by returning to his starting point, while minimizing the distance and the cost. The asymmetric travelling salesman problem (ATSP) is the problem in which the cost of travel from city A to B is different from that from B to A. Marriage in Honey Bee Optimisation (MBO) is a meta-heuristic procedure inspired by the mating and insemination process of honey bees. In this study, we seek to use an MBO algorithm for an optimal solution to the ATSP problem, which has previously been solved by different methods. The results of the MBO algorithm for ATSP are compared with Genetic Algorithm (GA), another meta-heuristic method.eninfo:eu-repo/semantics/closedAccessMarriage in honey bee optimisation (MBO)Travelling salesman problem (TSP)Asymmetric travelling salesman problem (ATSP)Swarm intelligenceArticle8641234132WOS:000305161100018N/A