• DocumentCode
    3229929
  • Title

    Bio-inspired approach to solve chemical equations

  • Author

    Mehta, Sharad

  • Author_Institution
    Dept. of Comput. Sci. Eng., Jaypee Inst. of Inf. Technol., Noida, India
  • fYear
    2013
  • fDate
    8-10 Aug. 2013
  • Firstpage
    461
  • Lastpage
    466
  • Abstract
    Technological advancements in the recent past have changed the state of art teaching and learning styles to computer based education system. Connecting theory with practice is the motto of modern education system. Chemistry is one of the subjects which cannot be learned without practice. Nevertheless, most of the organizations lack assigned chemistry laboratories and apparatus to perform laboratory experiments. To overcome this problem, the paper presents a bio-inspired approach to automate the task of simulating inorganic chemical experiments. The approach involves generation of possible products from the input reactants using Genetic algorithm. Subsequently System of equations method is adopted to balance the reactions. Experimental evaluations established that proposed approach runs with 95% accuracy. Thus presented approach has the competence to equip anyone with the facility to decide and perform any kind of chemical reaction with any set of reactants and get results in a robust manner.
  • Keywords
    chemistry computing; computer aided instruction; genetic algorithms; teaching; bioinspired approach; chemical equation solving; chemical reaction; chemistry laboratories; computer based education system; genetic algorithm; inorganic chemical experiments; input reactants; learning styles; teaching styles; Biological cells; Chemicals; Compounds; Equations; Genetic algorithms; Laboratories; Bio-inspired approach; Chemical Equations; Genetic Algorithm; Inorganic Chemistry; Simulating Chemical reactions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Contemporary Computing (IC3), 2013 Sixth International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-0190-6
  • Type

    conf

  • DOI
    10.1109/IC3.2013.6612240
  • Filename
    6612240