The genomic scale metabolic networks of the microorganisms can be constructed based on their genome se-quences,functional annotations,and biochemical reactions,reflecting almost all of the metabolic *** simulations of...
详细信息
The genomic scale metabolic networks of the microorganisms can be constructed based on their genome se-quences,functional annotations,and biochemical reactions,reflecting almost all of the metabolic *** simulations of metabolic fluxes could make these functions be visualized,thereby providing guidance for rational engineering design and experimental *** review summarized recently devel-oped flux simulation algorithms of microbial *** the single microbial systems,the optimal planning algorithm has low complexity because there is no interaction between microorganisms,and it can quickly simulate the stable metabolic states through the pseudo-steady ***,the experimental conditions of single microbial systems are easier to reach or close to the optimal states of simulation,compared with pol-ymicrobial *** polymicrobial culture systems could outcompete the single microbial systems as they could relieve metabolic pressure through metabolic division,resource exchange,and complex substrate ***,they provide varieties of intracellular production environments,which render them the po-tential to achieve efficient bioproduct ***,due to the quasi-steady hypothesis that restricts the simulation of the dynamic processes of microbial interactions and the algorithm complexity,there are few re-searches on simulation algorithms of polymicrobial metabolic ***,this review also analyzed and combed the microbial interactions based on the commonly used hypothesis of maximizing growth rates,and studied the strategies of coupling interactions with optimalplanning simulations for ***,this review provided new insights into the genomic scale metabolic flux simulations of polymicrobial systems.
The traditional route planningalgorithm has some problems, such as the ambiguity of objective function and the poor convergence, etc. Therefore, a tourism route optimization planningalgorithm based on GIS for forest...
详细信息
The traditional route planningalgorithm has some problems, such as the ambiguity of objective function and the poor convergence, etc. Therefore, a tourism route optimization planningalgorithm based on GIS for forest wetland is proposed. The genetic particle swarm optimization algorithm is designed, and then the GIS model is solved by the algorithm to improve the convergence performance of the traditional algorithm. Finally, the simulation experiments are done by parameter setting and environment simulation. The experimental results show that the algorithm has better convergence performance, higher degree of customer satisfaction and good optimization performance. It can be applied to the optimal tourism route planning of forest wetland.
暂无评论