Chaotic Quantum Behaved Particle Swarm Optimization for Multiobjective Optimization in Habitability Studies
Instrumentation and Methods for Astrophysics
2019-05-01 v2
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.
Cite
@article{arxiv.1904.09975,
title = {Chaotic Quantum Behaved Particle Swarm Optimization for Multiobjective Optimization in Habitability Studies},
author = {Arun John and Anish Murthy},
journal= {arXiv preprint arXiv:1904.09975},
year = {2019}
}