Intelligent optimization algorithm | Matlab implements immune algorithm (Immunity Algorithm) (complete source code included)

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Intelligent optimization algorithm | Matlab implements immune algorithm (Immunity Algorithm) (complete source code included)

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Apply the concept of immunity and its theory to genetic algorithms, and on the premise of retaining the excellent characteristics of the original algorithm, try to selectively and purposefully use some characteristic information or knowledge in the problem to be solved to suppress the degradation phenomenon that occurs in the optimization process. This algorithm is called Immune Algorithm IA. The artificial immune algorithm is a swarm intelligence search algorithm with an iterative process of generate and test. From a theoretical analysis, during the iterative process, the immune algorithm converges globally on the premise of retaining the best individuals of the previous generation.

1. Randomly generate the initial parent population A1, based on prior knowledge