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An immune evolutionary algorithm for sphericity error evaluation
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DOI：10.1016/j.ijmachtools.2004.02.018.png)
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Abstract
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An immune evolutionary algorithm (IEA) is proposed by imitating the defense process of the immune system and the ideas of mutation in evolutionary biology. In the IEA, a self-adaptive mutation operator is constructed to decide the mutation step size of every antibody according to its environment, and an affinity calculation process is also embedded to maintain diversity. Application of the proposed algorithm to the evaluation of sphericity error is investigated. The method takes the sphericity error objective function and constraints as antigen. Through genetic evolution, an antibody that most fits the antigen becomes the solution. Finally, the experimental results evaluated by different methods confirm the effectiveness of the proposed IEA. Furthermore, the method has good flexibility and is also suitable for other evaluations of form errors such as circularity, flatness etc. (C) 2004 Elsevier Ltd. All rights reserved.
Keywords:
sphericity error evaluation
minimum zone solution
immune evolutionary algorithm
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