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arXiv · 1904.09975

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

Arun John·Anish Murthy
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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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Arun John, Anish Murthy. 2019-04-19. Chaotic Quantum Behaved Particle Swarm Optimization for Multiobjective Optimization in Habitability Studies. https://arxiv.org/abs/1904.09975

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