A New Approach to the Optimal Target Selection Problem
摘要
Optimally selecting a subset of targets from a larger catalog is a common problem in astronomy and cosmology. A specific example is the selection of targets from an imaging survey for multi-object spectrographic follow-up. We present a new heuristic algorithm, HYBRID, for this purpose and undertake detailed studies of its performance. HYBRID combines elements of the simulated annealing, MCMC and particle-swarm methods and is particularly successful in cases where the survey landscape has multiple curvature or clustering scales. HYBRID consistently outperforms the other methods, especially in high-dimensionality spaces with many extrema. This means many fewer simulations must be run to reach a given performance confidence level and implies very significant advantages in solving complex or computationally expensive optimisation problems.
引用
@article{arxiv.astro-ph/0602338,
title = {A New Approach to the Optimal Target Selection Problem},
author = {E. C. Elson and B. A. Bassett and K. van der Heyden and Z. Z. Vilakazi},
journal= {arXiv preprint arXiv:astro-ph/0602338},
year = {2009}
}
备注
10 pages, 14 figures, Extended version accepted to Astron. Astrophys