A stochastic optimization algorithm for analyzing planar central and balanced configurations in the $n$-body problem
Alexandru Doicu, Lei Zhao, Adrian Doicu

TL;DR
This paper introduces a stochastic optimization method to analyze planar central and balanced configurations in the $n$-body problem, successfully identifying configurations up to $n=12$ and exploring symmetric and asymmetric cases.
Contribution
The paper presents a novel stochastic optimization algorithm for analyzing $n$-body configurations, providing comprehensive lists and examples for various $n$ values.
Findings
Identified all equal mass central configurations satisfying Morse equality up to $n=12
Discovered asymmetric balanced configurations for specific $n$ values
Provided examples of balanced configurations without symmetry for $n=4$ and $n=10$
Abstract
A stochastic optimization algorithm for analyzing planar central and balanced configurations in the -body problem is presented. We find a comprehensive list of equal mass central configurations satisfying the Morse equality up to . We show some exemplary balanced configurations in the case , as well as some balanced configurations without any axis of symmetry in the cases and .
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Taxonomy
TopicsStellar, planetary, and galactic studies · Spacecraft Dynamics and Control · GNSS positioning and interference
