A method for optimisation of a wolfpack behaviour simulation calculation, comprising the following steps: step one: WP population initialisation; step two: the AW performs behaviour selection, the behaviour selection comprising scouting behaviour, calling behaviour, or besieging behaviour; step three: publishing and updating the state of each AW. By means of judging the state of the surrounding environment, the present method promotes information exchange between simulated walls and enhances the exploration ability of the wolfpack; and an adaptive siege strategy is proposed for siege behavior, such that the algorithm has an adjusting function, thereby improving the convergence speed of the algorithm.
METHOD FOR SMART OPTIMISATION OF WOLFPACK BEHAVIOUR SIMULATION CALCULATION