Title:
Genetic_Algorithm_Based_on_Specific_Immunity_Strat
Download
Description: Standard genetic algorithm has a slow convergence velocity in late evolution and gets premature convergence
easily. To solve these problems, a new genetic algorithm based on specific immunity strategy was proposed in view of
mechanism of immune response. The key to this algorithm lies in maintaining the diversity of population and executing the
strategy of specific immunity. The niche mechanism was introduced to maintain diversity of population. To adapt the actual
change of population, genetic parameters were adjusted adaptively. The antibody population with high affinity was used to
seek more excellent antibodies, and the antibody population with low affinity was inspired to seek optimum. Under the action
of excellent memory cell to actualize elitist strategy, the search of algorithm is rapid and effective. It is proven that the
algorithm can guarantee the convergence towards the global optimum. Simulation results show the algorithm can improve
population diversity effectivel
To Search:
File list (Check if you may need any files):
基于特异性免疫策略的遗传算法及应用.pdf
