Fuzzy adaptive genetic algorithm based on auto-regulating fuzzy rules

There are defects such as the low convergence rate and premature phenomenon on the performance of simple genetic algorithms （SGA） as the values of crossover probability （Pc） and mutation probability （Pro） are fixed. To solve the problems, the fuzzy control method and the genetic algorithms were systematically integrated to create a kind of improved fuzzy adaptive genetic algorithm （FAGA） based on the auto-regulating fuzzy rules （ARFR-FAGA）. By using the fuzzy control method, the values of Pc and Pm were adjusted according to the evolutional process, and the fuzzy rules were optimized by another genetic algorithm. Experimental results in solving the function optimization problems demonstrate that the convergence rate and solution quality of ARFR-FAGA exceed those of SGA, AGA and fuzzy adaptive genetic algorithm based on expertise （EFAGA） obviously in the global search.

Application study of digital PID controller in cockpit temperature auto-regulating system

Aiming at the inherent blemish existi ng currently in airplane cockpit temperature regulating system,a digital temperatu re auto-regulating design scheme of the system is put forward,namely,a digita l proportional-integral-derivative(PID) controller used for temperature contr ol is designed.And then it is applied in airpl ane cockpit temperature regulating system by adopting the way of cascade control.Experiment results indicate that the design scheme is reasonable and practical.

Achieving robust synthetic tolerance in industrial E.coli through negative auto-regulation of a DsrA-Hfq module

In industrial fermentation processes,microorganisms often encounter acid stress,which significantly impact their productivity.This study focused on the acid-resistant module composed of small RNA(sRNA)DsrA and the sRNA chaperone Hfq.Our previous study had shown that this module improved the cell growth of Escherichia coli MG1655 at low pH,but failed to obtain this desired phenotype in industrial strains.Here,we performed a quantitative analysis of DsrA-Hfq module to determine the optimal expression mode.We then assessed the po-tential of the CymR-based negative auto-regulation(NAR)circuit for industrial application,under different media,strains and pH levels.Growth assay at pH 4.5 revealed that NAR-05D04H circuit was the best acid-resistant circuit to improve the cell growth of E.coli MG1655.This circuit was robust and worked well in the industrial lysine-producing strain E.coli SCEcL3 at a starting pH of 6.8 and without pH control,resulting in a 250%increase in lysine titer and comparable biomass in shaking flask fermentation compared to the parent strain.This study showed the practical application of NAR circuit in regulating DsrA-Hfq module,effectively and robustly improving the acid tolerance of industrial strains,which provides a new approach for breeding in-dustrial strains with tolerance phenotype.