Research and simulation on flow-shop scheduling problem based on improved genetic algorithm
In order to solve the problem of flow shop scheduling problem which includes disordered material flow and lopsided load of equipment, showing the restraint relationship of workpiece, process and machine with matrix, improving the crossover algorithm and mutation algorithm by introducing linear adaptive algorithm, instancing Car1 (11×5) by applying the improved genetic algorithm. Finally considered the transportation and Simulated Car1 (11×5).