An improved Immune Genetic Algorithm was proposed to solve the Flow Shop Problem. Basing on the standard Immune Genetic Algorithm, the vaccination technique and a novel method for calculating the affinity between the antibodies was added. Finally the algorithm was test with standard benchmark problems, and the experiment result shows the validity of the algorithm.
|Title of host publication||Computational methods|
|Editors||G.R. Liu, V.B.C. Tan, X. Han|
|Place of Publication||Dordrecht, Netherlands|
|Number of pages||6|
|ISBN (Print)||1402039522, 978-1402039522|
|Publication status||Published - 12 Oct 2006|
Liu, M., Pang, W., Wang, K. P., & Zhou, C. G. (2006). Improved Immune Genetic Algorithm For Solving Flow Shop Scheduling Problem. In G. R. Liu, V. B. C. Tan, & X. Han (Eds.), Computational methods (pp. 1057-1062). Dordrecht, Netherlands: Springer . https://doi.org/10.1007/978-1-4020-3953-9_7