Zhang Zeqiang

Ant Algorithm with Summation Rules for Assembly Line Balancing Problem

An improved ant colony optimization with pheromone summation rules is proposed to solve type 1 of the simple assembly line balancing problem (SALBP-1). The proposed algorithm makes use of the trail information which is deposited between the task and the task selected position, and pheromone summation rules is adopted. The heuristic information is set to the position weight for tasks of SALBP-1, which synthesis consider processing time of the task and the number of successors. A new nonlinear objective function is used to instead of the function of number of workstations. The proposed algorithm is tested and compared with literature test problems, the result indicated the validity of the proposed algorithms.

THE BENEFITS IMPULSE MODE FOR LOGISTICS MODERNIZATION GENERATED BY HIGH SPEED MAGLEV TRAIN

As the result of technological revolution in the realm of transportation, a high speed maglev train has distinctive characters: high speed, safety, energy saving and environment protection. Making it the pivotal basis can cause a reformation in technology and management of a logistics belt line and turn it into the key link of the logistics profits. The automatization, transport network, communication and intelligence of the logistics industry will be propelled ultimately by the application of the advanced communication technology, automatic control technology and computer technology implemented by the high speed maglev train with support from both government and society. The substantive profit is supposed to take the form of benefits in time, space, economic, social and