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Authors: Yasunobu Imamura 1 ; Naoya Higuchi 1 ; Takeshi Shinohara 1 ; Kouichi Hirata 1 and Tetsuji Kuboyama 2

Affiliations: 1 Kyushu Institute of Technology, Kawazu 680-4, Iizuka 820-8502 and Japan ; 2 Gakushuin University, Mejiro 1-5-1, Toshima, Tokyo 171-8588 and Japan

Keyword(s): Annealing by Increasing Resampling, Simulated Annealing, Logit, Probit, Meta-heuristics, Optimization.

Abstract: Annealing by Increasing Resampling (AIR) is a stochastic hill-climbing optimization by resampling with increasing size for evaluating an objective function. In this paper, we introduce a unified view of the conventional Simulated Annealing (SA) and AIR. In this view, we generalize both SA and AIR to a stochastic hill-climbing for objective functions with stochastic fluctuations, i.e., logit and probit, respectively. Since the logit function is approximated by the probit function, we show that AIR is regarded as an approximation of SA. The experimental results on sparse pivot selection and annealing-based clustering also support that AIR is an approximation of SA. Moreover, when an objective function requires a large number of samples, AIR is much faster than SA without sacrificing the quality of the results.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Imamura, Y.; Higuchi, N.; Shinohara, T.; Hirata, K. and Kuboyama, T. (2019). Annealing by Increasing Resampling in the Unified View of Simulated Annealing. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-351-3; ISSN 2184-4313, SciTePress, pages 173-180. DOI: 10.5220/0007380701730180

@conference{icpram19,
author={Yasunobu Imamura. and Naoya Higuchi. and Takeshi Shinohara. and Kouichi Hirata. and Tetsuji Kuboyama.},
title={Annealing by Increasing Resampling in the Unified View of Simulated Annealing},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2019},
pages={173-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007380701730180},
isbn={978-989-758-351-3},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Annealing by Increasing Resampling in the Unified View of Simulated Annealing
SN - 978-989-758-351-3
IS - 2184-4313
AU - Imamura, Y.
AU - Higuchi, N.
AU - Shinohara, T.
AU - Hirata, K.
AU - Kuboyama, T.
PY - 2019
SP - 173
EP - 180
DO - 10.5220/0007380701730180
PB - SciTePress