Title :
Bio-inspired cooperative optimization with application to bacteria motility
Author :
Chen, Jianshu ; Sayed, Ali H.
Author_Institution :
Dept. of Electr. Eng., Univ. of California, Los Angeles, CA, USA
Abstract :
Inspired by bacterial motility, we propose an algorithm for adaptation over networks with mobile nodes. The nodes have limited abilities and they are allowed to cooperate with their neighbors to optimize a common objective function. In contrast to traditional adaptation formulations, an important consideration in this work is the fact that the nodes do not know the form of the cost function beforehand. The nodes can only sense variations in the values of the objective function as they diffuse through the space, such as sensing the variation in the concentration of nutrients in the environment. We propose a technique for the nodes to pick the search vector as a linear combination of the neighbors\´ last steps, by attempting to maximize the nutritional gradient. The procedure enables information to flow from "information-rich" nodes to the other nodes.
Keywords :
biology; microorganisms; optimisation; bacterial motility; bio-inspired cooperative optimization; cost function; information-rich nodes; nutritional gradient maximization; objective function; search vector; single-cell microscopic organisms; Cost function; Microorganisms; Noise measurement; Reliability; Sensors; Signal to noise ratio; Adaptive network; bacterial motility; cooperative optimization; diffusion;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5947676