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Quantum Genetic Terrain Algorithm (Q-GTA): A Technique to Study the Evolution of the Earth Using Quantum Genetic Algorithm
* 1 , * 2 , * 3
1  SKIT,Jaipur
3  Jawaharlal Nehru University,Delhi


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.

Keywords: quantum genetic algorithm; isotopic fractionation
Comments on this paper
Vanisha Arora
Great work
Great work
Ankit Agarwal
Thank you so much mam..this will encourage us for future work..

Nipun Munjal
Good initiative..
Great work guys !!
Pranjal Sharma
Thanks for the motivation sir

Konpal Agrawal
Wow.. keep it up
Good job..
Pranjal Sharma
Thanks mam for the participation in conference.

Pankaj Bansal
Plenty of knowledge with deep thought.
Highly inspiring work with lots of dedication
Pranjal Sharma
Thanks for thr support this would help us to continue research in this field for sure

Dr Nitin Gupta
Good work...Keep it up..
Pranjal Sharma
Thanks for the appreciation sir

Honey Sharma
Why isotopic ratio?
How do you derive that the isotopic ratio could be used to study earth's evolution? Also why did you choose rb-sr and nd-sm for the same.
Pranjal Sharma
First of all gratitude for your interest in the paper. The explanation is as follows:
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.

R. Sharma
Doubt Regarding Result
Nice paper but the results doesn't seems sufficient with respect to algorithm there are Missing results on crossover part... Could you verify that.
Pranjal Sharma
Thanks for the participation in the conference. Yes surely there is Missing results on crossover because we are not unable to find data on the different channel isotopic ratio changes in the same years at same sites. To implement the crossover part there needs to be study of this thing in future which cannot be done through our side because we don't work in that field. Thanks for your time. More doubts are welcomed
Pranjal Sharma
We will surely add this work in the next paper on the crossover.

Chayanika Gautam
Complexity analysis
Complexity analysis
Pranjal Sharma
Thanks for your time. The complexity analysis goes as of genetic algorithm because it's layers are same as genetic algorithm.
You can further mail me on for more discussion regarding this.

Aakriti Jain
Question regarding fitness function.
Hi Pranjal Dubey,
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 ?
Pranjal Sharma
The paper clearly states that it wasn't at this point development of classical or quantum version of ga but its about developing a fully new thing that can be viewed as generic version but surely after this quantum implementation would be presented as our near future work.
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.