Group control elevator scheduling optimization method based on improved artificial bee colony algorithm

The invention discloses a group control elevator dispatching optimization method based on an improved artificial bee colony algorithm. The method comprises the steps of firstly, determining system evaluation indexes, creating a target function, and determining a fitness function; establishing a current state matrix of an elevator, and describing elevator information including current elevator state information, passenger destination floor information in the elevator and calling floor information of an outbound signal; setting elevator parameters, and initializing all the parameters; after thelead bees carry out neighborhood search, comparing the fitness of an original food source and the fitness of a new food source by utilizing the selection probability of simulated annealing, if the fitness of the new food source is greater than the fitness of an original nectar source, accepting the food source, otherwise, accepting a poorer solution at a certain probability, and finding a globallyoptimal solution by expan