Knowledge-based co-evolutionary approach for flexible Job Shop scheduling

Lining Xing · Computer Integrated Manufacturing Systems · 2011

A knowledge-based co-evolutionary approach was proposed to solve the flexible Job Shop scheduling problems.In this approach,both the ant colony optimization and parameter configuration were applied to facilitate evolution of each population independently.By interactive resource competition and information sharing mechanism among populations,the evolution process of entire algorithm was promoted.Performance of this approach was evaluated by some benchmark examples taken from literature.Experimental results suggested that this approach outperformed seven recently published approaches.

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