Research on Multi-objective Flexible Job Shop Scheduling Problem Based on Improved Salp Swarm Algorithm
For the multi-objective flexible job shop scheduling problem,a mathematical model with the optimization objectives of minimizing total energy consumption,minimizing production cost,and minimizing penalty value is constructed,and an im-proved Multi-objective Salp Swarm Algorithm(IMSSA)is designed to solve the problem.The improved algorithm mainly consists of two parts:leaders and followers,where the leader's position update is implemented in combination with the sine cosine algo-rithm and the follower's position update is done based on the linear differential decreasing inertia weight method.In addition,the food source repository is introduced to retain the non-dominated solutions.Finally,the comparative experiments proved the effec-tiveness of the proposed strategy and the improved algorithm.
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