Research On Multi-Agent Coalition Based On Ant Colony Algorithm Under Supply Chain

At present, the expanding of global market and the increasing popularity ofinformation network provide excellent platform. For the share of productionexperience and technology in the cross between the groups. Knowledge sharingand demand diversity makes the products life cycle continuously be shorted,enterprises are facing shorting delivery time, improving product quality,reducing the cost and improving services of the multiple pressure. Enterprisecan greatly improve the production and business operation efficiency byconstructing a flexible and effective supply chain. Enterprise alliance mainlysolves the cooperation between enterprises, standing in enterprise strategic height,makes the enterprise to maintain long lasting between the friendly cooperation, andmake the alliance in severe market enterprise can under the environment develop itsthe biggest advantage. Supply chain is a typical system which needs to cooperatewith the tacit understanding the members in the system. High efficiency andstability is the league stable operation of the necessary conditions for the supplychain. Further research enterprise alliance mechanism can help enterprise fastalliance, form the smooth operation of supply chain, and can be easily enterprisesto realize agile management, made efficient production plan.Based on the analysis of the supply chain and Agent and MAS both at homeand abroad on the basis of study, focused on the supply chain of the alliancebetween the enterprise and the supply chain and the alliance between the supplychain by the relevant technology of the Agent. To this, this paper worked from thethree aspects:First, model the supply chain system by Agent intelligent technology, anddescribes the detailed in this model between Agent coordination mechanism, thealliance for Agent the blackboard.Second, from a single aspect of the supply chain, a single task in theenvironment of Agent alliance model, and set the model for the ant colonyalgorithm, through the automobile industry of the supply chain of the test samplesthe model and the efficiency of the algorithm.Finally, the problem was further researched, from a single mission promotionto multitasking environment, from enterprise Agent to the alliance between thesupply chain alliance. In multitasking environment according to the mission, the characteristics ofparallel task and cross respectively from two of the task, a task environmentparallel Agent alliance and cross alliance model, according to the differentcharacteristics of the two models are set up the ant colony algorithm, and the twomodels, the example, through calculation of a living example, the two kinds ofmodel and the algorithm of the set is reasonable.