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Chaotic Quantum Behaved Particle Swarm Optimization for Multiobjective Optimization in Habitability Studies

2019/04/19 by Arun John, John, Arun, Anish Murthy +1
Physics and Astronomy · #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #astro-ph.IM

paper · pdf · doi:10.48550/arxiv.1904.09975

arxiv created 2019/04/30 · arxiv updated 2019/05/01

Abstract

In this paper, based on the Quantum-behaved Particle Swarm Optimization algorithm, we evolve the algorithm to optimize a multiobjective optimization problem, namely the Cobb Douglas Habitability function which is based on CES production functions in Economics. We also propose some changes to the Quantum-behaved Particle Swarm Optimization algorithm to mitigate the problem of the algorithm prematurely converging and show the results of the proposed changes to the Quantum-behaved Particle Swarm Optimization.

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