Referenced Items are not available for this document.
To avoid premature convergence and guarantee the diversity of the population, a heuristic immune-genetic algorithm (HIGA) is proposed. Rapid immune response (secondary response), adaptive mutation and density operators in the HIGA are emphatically designed to improve the searching ability, greatly increase the converging speed, and avoid locating the local maxima due to the premature convergence. The simulation results show that HIGA converges rapidly, guarantees the diversity, stability and good searching ability
Published in:
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
(Volume:2
)
Date of Conference: 28-30 Nov. 2005
- Page(s):
- 36 - 40
- Print ISBN:
- 0-7695-2504-0
- INSPEC Accession Number:
- 9109356
- Conference Location :
- Vienna
- Digital Object Identifier :
- 10.1109/CIMCA.2005.1631442
- Product Type:
- Conference Publications
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