Research Of Immune System Based Co-Evolutionary Mechanisms And Their Applications

Traditional evolutionary algorithms are mature in theory and are applied successfully and widely.However,there are two disadvantages of them.First,the convergence speed is slow and the local search ability is limited.Second,for application problems with large searching space,the structure of the searching space is very complex or there is no intuitive measure to evaluate the individual,as such the traditional evolutionary algorithms fail to be applied with promising performance.Immune computation and co-evolutionary computation are two hot research fields in evolutionary algorithms.And increasing number of the inspiration mechanisms and application fields are discovered.There are a lot of achievements of theory and application in these fields.Moreover,they both overcome the shortcomings of traditional evolutionary algorithms.And immune algorithms and co-evolutionary algorithms share many features in mechanisms,models and design of operators.They are also complementary in some aspects.Immune computation and immune co-evolutionary computation will achieve better performance and increase value of application.In this study,the drawbacks of traditional evolutionary algorithms are focused.Based on the superior features of immune algorithm and co-evolutionary algorithm,and considering the abundant co-evolutionary mechanisms in biological immune system,the immune system based co-evolutionary mechanisms are study by building co-evolutionary models,algorithms and system frameworks,and finally applying in the complex and novel application fields such as garment design optimization and distributed object computation.First,a general study of evolutionary algorithm,immune computation, co-evolutionary computation and immune co-evolutionary mechanism are given to explain the value and significance of immune co-evolutionary mechanism and their inspired computation paradigm.In the study of immune computation and co-evolutionary computation,the respective inspiration mechanism,computation models,algorithms and artificial systems are emphasized.In the study of immune co-evolutionary mechanisms, according to the structure and function of biological immune system,three categories are proposed including immune population based co-evolutionary mechanisms,immune network based co-evolutionary mechanisms,and immune stability maintenance principle based co-evolutionary mechanisms.And the following study of immune co-evolutionary mechanisms,models,algorithms and systems is also performed in this classification pattern.Then,in the three categories,some immune co-evolutionary mechanisms are abstracted from biological immune system,whose models are built for inspiring algorithms and system framework.And they are applied in the fields of garment design optimization and distributed object computation.(1) In the aspect of population based immune co-evolutionary computation,incorporating and strengthening the traditional evolutionary operators,introducing and optimizing traditional immune algorithm,and designing specific co-evolutionary operator by considering domain knowledge,several immune co-evolutionary algorithms are designed for logistic portion balancing optimization and uniform assignment optimization.(2) In the aspect of immune co-evolutionary design approaches,an interactive immune co-evolutionary algorithm based approach is proposed for garment pattern design optimization;a neural network and immune co-evolutionary algorithm based hybrid algorithm is proposed for garment pattern design optimization.(3) In the aspect of immune network based co-evolutionary mechanisms and application,three technologies and system frameworks are studied.A multi-affinity immune network model based object prefetching approach is proposed for distributed object computation.An antibody network and a multi-layered immune model are proposed for a novel framework of distributed object computation.A co-evolutionary multi-signal model based on danger theory is proposed for real-time risk assessment of information security.(4) In the aspect of immune stability maintenance based model and application,a stable co-evolutionary model based on antibody network and multi-layered immune system is proposed to design a framework of distributed object computation,and a immune cognitive model based immune stability maintenance is proposed for information retrieval.The above researches of inspiration mechanisms,models,algorithms and system frameworks,prove that the immune co-evolutionary computation is importance and deserves further studies.Finally,a summary of the thesis is made,and the deficiency of the study and the further development are narrated respectively.