In recent years geologists have put a lot of effort trying to study the evolution of earth using different techniques studying rocks, gases, and water at different channels like mantle, lithosphere and atmosphere. Some of the ways are Estimation of heat flux between the atmosphere and sea ice, Modelling global temperature changes, Groundwater monitoring networks, etc. But algorithms involving the study of earth’s evolution have been a debated topic for decades. Also, there is distinct research on studying the mantle, lithosphere, and atmosphere using isotopic fractionation which this paper will take into consideration to form genes at the former stage. This factor of isotopic fractionation could be molded in QGA to study the earth’s evolution. We combined these factors because the gases containing these isotopes move from mantle to lithosphere or atmosphere through gaps or volcanic eruptions contributing to it. We are likely to use the Rb/Sr and Sm/Nd ratios to study the evolution of these channels. This paper, in general, provides the idea on gathering some information of temperature changes by using isotopic ratios as chromosomes, in QGA the chromosomes depict the characteristic of a generation. Here these ratios depict the temperature characteristic and other steps of QGA would be molded to study these ratios in the form of temperature changes, which would further signify the evolution of earth based on the study that temperature changes with the change in isotopic ratios. This paper will collect these distinct studies and embed them into an upgraded quantum genetic algorithm called Quantum Genetic Terrain Algorithm or Quantum GTA.
Good job..
The work of L.J Hallis the reference could be found in paper depicts that the planetary evolution could be studied with the help of D-H ratios that clearly means that isotopic ratios are a great way to study thr planetary evolution over ages. We could use D-H ratios to study the earth's evolution but we would rather like to study the temperature changes in and out of earths surface which can easily be followed in D. Paul's work which says modelling the isotopic evolution of the earth on the basis of Rb-Sr Nd-Sm ratios. Hope your doubts are clear. Further questions are welcome.
You can further mail me on pranjaldub@gmail.com for more discussion regarding this.
I like your paper. The writing was clear and simple.
I do have a question regarding the implementation of your QGA. Do you mind highlighting how your QGA differs from classical GA?
I'm also confused what your fitness function is ?
About fitness function it still same as the fitness of the gene with respect to the next generations isotopic ratio divided by the overall fitness of genes. It same as in ga but the fitness is calculated as the difference in present ratio amd what the algo gave. This fitness is ranked to get the finer next generation. Hope your doubt is clear you could mail me regarding this for further details.
Thanks for your time and participation in the conference.