Abstract
Immune algorithm is kind of intelligent optimization algorithm which simulates the biology immunity system, and has potential to provide novel method for solving problem. From the basic principle of biological immune system, an immune algorithm based on complete biological immune system is proposed for finding Pareto-optimal solutions to multi-objective optimization problems. The technical problems of this algorithm are discussed: calculation of accessible degrees and expectation, maturation, inhibition, clonally selection and regeneration. The program flow of the immune algorithm was designed and the computer program was compiled. The correctness and effectiveness of the algorithm are verified by the test equations and multi-objective truss-structure sizing optimization with discrete variables.
This work is partially supported by the National Science Foundation of China (No.50709013).
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© 2011 Springer-Verlag Berlin Heidelberg
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Guo, P., Wang, X., Han, Y. (2011). Multi-objective Optimization Using Immune Algorithm. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23235-0_67
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DOI: https://doi.org/10.1007/978-3-642-23235-0_67
Publisher Name: Springer, Berlin, Heidelberg
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