The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 89-173
Full Name: Guo Meng
Position: Associate Professor
Age: ON
Sex: Male
Address: Department of Computer Science and Technology, HENAN University of Urban Construction
Country: CHINA
Tel:
Tel prefix:
Fax:
E-mail address: ando1203@163.com
Other E-mails: homzhou@163.com
Title of the Paper: a new immune algorithm and its application
Authors as they appear in the Paper: Guo Meng,Chen Qiuhong
Email addresses of all the authors: ando1203@163.com
Number of paper pages: 11
Abstract: The traditional single clonal selection algorithm has a lot of disadvantages, for example, it is easy to be trapped into local optima, and it has a lot of massive redudacy iteration in its later period and inferior global search ability and so on. In this paper, a new artificial immune algorithm is proposed based on the clonal selection theory and the structure of anti-idiotype(IAAI), which is improved as follows: firstly, IAAI constructs a dynamic clonal expansion, secondly clonal mutation, thirdly dislocated line clonal recombinant, lastly clonal selection. Through the above mentioned several key steps, IAAI is improved in order to achieve the evolution of the whole antibody population, then the new algorithm can have strong search capabilities which make it reach better performance by perfoming global search and local search in many directions in the solution space. Then the global convergence of the new algorithm is analyzed from the test of several typical co!
mplex functions. The result shows that the algorithm can effectively overcome the premature problem, and improve the ability of global optimization, the speed of convergence.
Keywords: Immune algorithm, Clonal selection, Dynamic clonal expansion, Clonal mutation, Dynamic adjustment, Anti-idiotype
EXTENSION of the file: .doc
Special (Invited) Session: Constrained Optimization Evolutionary Algorithm
Organizer of the Session: 613-496
How Did you learn about congress: homzhou@163.com
IP ADDRESS: 202.109.121.58
