Recent advances in artificial immune systems: models and applications

D Dasgupta, S Yu, F Nino - Applied Soft Computing, 2011 - Elsevier
The immune system is a remarkable information processing and self learning system that
offers inspiration to build artificial immune system (AIS). The field of AIS has obtained a …

A Danger‐Theory‐Based Immune Network Optimization Algorithm

R Zhang, T Li, X **ao, Y Shi - The Scientific World Journal, 2013 - Wiley Online Library
Existing artificial immune optimization algorithms reflect a number of shortcomings, such as
premature convergence and poor local search ability. This paper proposes a danger‐theory …

A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept

H Izadinia, F Sadeghi, MM Ebadzadeh - Neural Networks, 2009 - Elsevier
The natural immune system provides an effective defense mechanism against foreign
substances via complex interactions among various cells and molecules. Jerne introduced …

[PDF][PDF] A Hybrid Clonal Selection Algorithm with Conflict Based Ststistics for University Course Timetabling

SM Borodo - 2013 - eprints.utm.my
The University course timetabling problem involves the allocation of courses to rooms and
timeslots subject to satisfaction of hard and soft constraints. The hard constraints must be …

Handwritten digits recognition based on immune network

Y Li, Y Wu, L Jiao, J Wu - MIPPR 2011: Pattern Recognition …, 2011 - spiedigitallibrary.org
With the development of society, handwritten digits recognition technique has been widely
applied to production and daily life. It is a very difficult task to solve these problems in the …