NDLI: Elitism-based immune genetic algorithm and its application to optimization of complex multi-modal functions

Content Provider	Springer Nature Link
Author	Tan, Guan zheng Zhou, Dai ming Jiang, Bin Dioubate, Mamady I.
Copyright Year	2008
Abstract	A novel immune genetic algorithm with the elitist selection and elitist crossover was proposed, which is called the immune genetic algorithm with the elitism (IGAE). In IGAE, the new methods for computing antibody similarity, expected reproduction probability, and clonal selection probability were given. IGAE has three features. The first is that the similarities of two antibodies in structure and quality are all defined in the form of percentage, which helps to describe the similarity of two antibodies more accurately and to reduce the computational burden effectively. The second is that with the elitist selection and elitist crossover strategy IGAE is able to find the globally optimal solution of a given problem. The third is that the formula of expected reproduction probability of antibody can be adjusted through a parameter β, which helps to balance the population diversity and the convergence speed of IGAE so that IGAE can find the globally optimal solution of a given problem more rapidly. Two different complex multi-modal functions were selected to test the validity of IGAE. The experimental results show that IGAE can find the globally maximum/minimum values of the two functions rapidly. The experimental results also confirm that IGAE is of better performance in convergence speed, solution variation behavior, and computational efficiency compared with the canonical genetic algorithm with the elitism and the immune genetic algorithm with the information entropy and elitism.
Starting Page	845
Ending Page	852
Page Count	8
File Format	PDF
ISSN	10059784
Journal	Journal of Central South University of Technology
Volume Number	15
Issue Number	6
e-ISSN	19930666
Language	English
Publisher	Central South University
Publisher Date	2008-12-14
Publisher Place	Heidelberg
Access Restriction	Subscribed
Subject Keyword	immune genetic algorithm multi-modal function optimization evolutionary computation elitist selection elitist cross-over Metallic Materials Engineering
Content Type	Text
Resource Type	Article
Subject	Mechanics of Materials Materials Science Mechanical Engineering

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