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A Novel Exoplanetary Habitability Score via Particle Swarm Optimization of CES Production Functions

Theophilus, A and Saha, S and Basak, S and Murthy, J (2019) A Novel Exoplanetary Habitability Score via Particle Swarm Optimization of CES Production Functions. In: UNSPECIFIED, 18 November 2018, pp. 2139-2147.

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Official URL: https://dx.doi.org/10.1109/SSCI.2018.8628669


The search for life has two goals essentially: looking for planets with Earth-like conditions (Earth similarity) and looking for the possibility of life in some form (habitability). Determining habitability from exoplanet data requires that determining parameters are collectively considered before coming up with a conclusion as no single factor alone contributes to it. Our proposed models, would serve as an indicator while looking for new habitable worlds, if computed with precision and efficiency. The models are of the type constrained optimization, multivariate, convex but may suffer from curvature violation and premature convergence impacting desired habitability scores. We mitigate the problem by proposing modified Particle Swarm optimization (PSO) to tackle constraints and ensuring global optima. In the process, a python library to tackle such problems has been created. © 2018 IEEE.

Item Type: Conference Poster
Publication: Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: Copy right for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Artificial intelligence; Constrained optimization; Curve fitting; Extrasolar planets, AstroInformatics; Earth-like conditions; Exo-planets; habitability Score; Meta-heuristic optimizations; Modified particle swarm optimization; Pre-mature convergences; Production function, Particle swarm optimization (PSO)
Department/Centre: Division of Physical & Mathematical Sciences > Astronomy and Astrophysics Programme
Date Deposited: 15 Apr 2019 05:20
Last Modified: 15 Apr 2019 05:20
URI: http://eprints.iisc.ac.in/id/eprint/62094

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