文章基本信息

标题：NATURE INSPIRED TECHNIQUES TO SOLVE COMPLEX ENGINEERING PROBLEMS
本地全文：下载
作者：RADHA MADHAVI ; RAMA RAO KARRI ; DURAISAMY SAMBASIVAM SANKAR 等
期刊名称：Journal of Industrial Pollution Control
印刷版ISSN：0970-2083
出版年度：2017
卷号：33
期号：1
页码：1304-1311
语种：English
出版社：Research and Reviews
摘要：Presence of heavy metals and toxic chemicals in effluent waste water, which usually discarded to local water bodies, pollute the land, air and water. These pollutants effect the environment and human beings. Due to stringent environmental regulations, researchers are exploring the best way to treat the effluent before they are discarded. Biofilm process are observed to be all the more expanding on the grounds that they are ecological benevolent and less vitality serious. The use of biofilm reactor models to genuine useful issues endures because of the absence of learning of exact dynamic models and instability in the model parameters. Effective demonstrating of bioreactors, along these lines, requires choosing a suitable active model and precise assurance of its parameters. Converse estimation of model parameters by means of numerical displaying course is known as backwards demonstrating (IM), which is an alluring contrasting option to the trial techniques. In this approach, the parameters are resolved as an outcome of the approval of the procedure demonstrate with the guide of measured information. Parameter estimation by IM includes minimization of a target capacity and therefore needs the support of productive improvement calculations. In this review, a novel streamlining strategy is proposed in view of insect state improvement (ACO) meant as ACO-IM and connected for the assurance of dynamic and film thickness parameters of biofilm models of a trial settled bed anaerobic reactor utilized as a part of the treatment of industry waste water. The aftereffects of this review are assessed as for scientific models, active and film thickness expressions.
关键词：Mathematical model; Kinetic parameters; Ant colony optimization; Inverse modeling; Test functions