Chaotic Quantum Behaved Particle Swarm Optimization for Multiobjective Optimization in Habitability Studies. (arXiv:1904.09975v1 [astro-ph.IM])
<a href="http://arxiv.org/find/astro-ph/1/au:+John_A/0/1/0/all/0/1">Arun John</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Murthy_A/0/1/0/all/0/1">Anish Murthy</a>
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.
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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