Immune Algorithm for Solving Large-Scale Job-Shop Scheduling Problems
Journal Title: Scholars Journal of Engineering and Technology - Year 2017, Vol 5, Issue 12
Abstract
Job-shop scheduling is a combination explosion problem. Complexity of solving such problems grows exponentially with the increase of problem scope. Based on the ideology of human immune system, an algorithm suitable for solving larger-scale job-shop scheduling problem (JSSP) is designed by selecting operators using hyper-mutation antibody clonal selection algorithm. The test result shows that the algorithm exhibits high efficiency and favorable universality.
Authors and Affiliations
Nengfa Hu
Keywords
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