A collaborative optimized genetic algorithm based on regulation mechanism of neuroendocrine-immune system

Author(s):  
Bao Liu ◽  
Yongsheng Ding ◽  
Junhong Wang
2012 ◽  
Vol 241-244 ◽  
pp. 1737-1740
Author(s):  
Wei Chen

The immune genetic algorithm is a kind of heuristic algorithm which simulates the biological immune system and introduces the genetic operator to its immune operator. Conquering the inherent defects of genetic algorithm that the convergence direction can not be easily controlled so as to result in the prematureness;it is characterized by a better global search and memory ability. The basic principles and solving steps of the immune genetic algorithm are briefly introduced in this paper. The immune genetic algorithm is applied to the survey data processing and experimental results show that this method can be practicably and effectively applied to the survey data processing.


Author(s):  
H Park ◽  
N-S Kwak ◽  
J Lee

The immune system has pattern recognition capabilities based on reinforced learning, memory, and affinity maturation interacting between antigens (Ags) and antibodies (Abs). This article deals with an adaptation of artificial immune system (AIS) into genetic-algorithm (GA)-based multi-objective optimization. The present study utilizes the pattern recognition from an AIS and the evolution from a GA. Using affinity measures between Ags and Abs, GA-based immune simulation discovers a generalist Ab that represents the common pattern among Ags. Non-dominated Pareto-optimal solutions are obtained via GA-based immune simulation in which dominated designs are considered as Ags, whereas non-dominated designs are assigned to Abs. This article discusses the procedure of identifying Pareto-optimal solutions through the immune system-based pattern recognition. A number of mathematical function problems that are described by discontinuity or disconnection in the shape of Pareto surface are first examined as test examples. Subsequently, engineering optimization problems such as rotating flywheel disc and ten-bar planar truss are explored to support the present study.


2013 ◽  
Vol 13 (12) ◽  
pp. 4461-4480 ◽  
Author(s):  
Mlungisi Duma ◽  
Tshilidzi Marwala ◽  
Bhekisipho Twala ◽  
Fulufhelo Nelwamondo

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Qingqing Guo ◽  
Decheng Bi ◽  
Mingcan Wu ◽  
Boming Yu ◽  
Lang Hu ◽  
...  

Abstract Background Euglena is a new super health food resource that is rich in the natural polysaccharide paramylon, a linear β-1,3-glucan with various biological activities including activity on the immune system in different cell lines and animals. Despite these reports, the immune regulation mechanism of paramylon is still unclear. Results We investigate the signaling pathways paramylon impacts in immune macrophages. In RAW264.7 macrophages, sonicated and alkalized paramylon oligomers up-regulated inducible nitric oxide synthase (iNOS) and increased secretion of nitric oxide (NO), interleukin (IL)-6 and tumor necrosis factor (TNF)-α, in a concentration-dependent manner. In addition, paramylon activated the nuclear factor-κB(NF-κB) and mitogen-activated protein kinase (MAPK) signaling pathways and inhibiting these pathways attenuated the paramylon-induced secretion of the above immune-mediators. Conclusions These results demonstrate that Euglena gracilis paramylon modulates the immune system via activation of the NF-κB and MAPK signaling pathways and thus has potential therapeutic benefits.


2016 ◽  
Vol 101 ◽  
pp. 161-171 ◽  
Author(s):  
Alva Presbitero ◽  
Valeria Krzhizhanovskaya ◽  
Emiliano Mancini ◽  
Ruud Brands ◽  
Peter Sloot

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