Numerical Optimization Oriented Artificial Immune Network with Cloud-based Mutation Operator

Provided by: Binary Information Press
Topic: Cloud
Format: PDF
In this paper, the authors propose an Artificial Immune Network with the Cloud-based Mutation Operator (AINet-CMO) for complex numerical optimization problems. Introducing the cloud model into the mutation operator is expected to enhance the convergence of AINet-CMO. In the mutation process, the mutation step length can be dynamically adapted to the evolution of candidate antibodies by measure of the cloud model. A series of numerical simulations are arranged to compare such performance indices as solution accuracy and convergence speed between AINet-CMO and other existing algorithms.

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