An Improved Ant Colony Algorithm for Solving Permutation Flow Shop Scheduling Problem
To solve permutation flow shop scheduling problem, a scheduling algorithm based on ant colony optimization is proposed in this chapter. This algorithm is an improved ant colony algorithm. On the basis of self-adaptation ant colony optimization algorithm, the variation method of adjust operation and noise interference method are used to improve the algorithm. Finally, the improved ant colony algorithm and the traditional genetic algorithm are compared by the simulation results. Besides, the advantages of the improved ant colony algorithm are also analyzed. The permutation flow shop scheduling problem can be well solved by this improved ant colony algorithm.
KeywordsLine Production Volatility
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