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- W2387241499 abstract "Standard genetic algorithm has some disadvantages,such as slow astringency,precocity.A new immune genetic algorithm(AIGA) based on the theory of antibody injection immune was proposed.Immunity response,antibody injection and immunity selection of biological immune systems were introduced to combine with the search ability of standard genetic algorithm in AIGA.When the method of antibody distilling and injecting used in Travelling Salesman Problem(TSP) were presented,the convergence of AIGA was proven theoretically.A simulation test of 100-city TSP was done with AIGA,and its computational process was compared with that of standard genetic algorithms.The test results show that AIGA can overcome the disadvantage of precocity and improve the speed of astringency evidently." @default.
- W2387241499 created "2016-06-24" @default.
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- W2387241499 date "2009-01-01" @default.
- W2387241499 modified "2023-09-24" @default.
- W2387241499 title "Immune genetic algorithm based on antibody injection" @default.
- W2387241499 hasPublicationYear "2009" @default.
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