In general

only time is optimized when using the traditional multi-Agent way (TMAW) to solve the jobshop scheduling problem based on contract net protocol

which ignores the requirement of multi-objective optimization for scheduling system. In essence

task optimum allocation between Agents is single-step optimization. Thus very limited boost is made to the performance of the scheduling system. To solve the problems

the multi-Agent scheduling model is replanned and an interval-synergy-auction scheduling strategy (ISASS) is proposed in this paper. Time

cost

machine load and energy consumption are optimized globally in a certain time window in this strategy. And different optimal trends can be got by changing weighting factors. Finally

a simulation test validates the effectiveness. Influence on the scheduling performance under different time windows and different weighing factors is also studied so as to guide the actual productive practices.