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Analysis of institutional authors

Pitarch, José LuisCorresponding AuthorArmesto, LeopoldoAuthor

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November 10, 2024
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POMPD non-myopic Bayesian optimisation for processes with operation constraints and a finite budget

Publicated to: Revista Iberoamericana de Automatica e Informatica Industrial. 21 (4): 328-338 - 2024-01-01 21(4), DOI: 10.4995/riai.2024.20971

Authors:

Pitarch, JL; Armesto, L; Sala, A
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Affiliations

Univ Politecn Valencia, Inst Automat Informat Ind ai2, Camino Vera S-N, Valencia 46022, Spain - Author
Univ Politecn Valencia, Inst Diseno & Fabricac IDF, Camino Vera S-N, Valencia 46022, Spain - Author

Abstract

Improving decision making from the observed results after experimentation is a usual task in many applications, from the research laboratory scale to industrial production systems. However, conducting experiments often takes a non-negligible cost. Consequently, excessive exploration is harmful. Bayesian optimization is a widely used technique in this context, deciding next experiment based on a statistical model. However, this technique does not explicitly account for the actual cost of the experiment, nor whether a limited budget (economic, number of experiments, time, etc.) exists. The problem of decision making under uncertainty and finite sample budget can be cast as a Partially Observable Markov Decision Process (POMDP). This work addresses the experimental optimization problem with operation constraints by a POMDP approach, where the possible actions to make are given by well-known Bayesian optimization heuristics, or any other defined by the user. The strategy consists in building a scenario tree from the (uncertain) knowledge about the system/process, learnt from prior experiments. Such a knowledge is modelled by Gaussian processes, which are updated with each new available observation. The evaluation on the best action to make is realized via dynamic programming. The developed algorithm has been evaluated by comparison with other options in the literature in a synthetic test bench, and to optimize a chemical batch production process.
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Keywords

Dynamic programmingGaussian processesOptimisation under uncertaintProcess optimisation

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Revista Iberoamericana de Automatica e Informatica Industrial due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Science (Miscellaneous). Notably, the journal is positioned en el Cuartil Q4 for the agency WoS (JCR) in the category Automation & Control Systems.

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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-03:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 7.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 5 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Additionally, the work has been submitted to a journal classified as Diamond in relation to this type of editorial policy.
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Pitarch Pérez, Jose Luis) and Last Author (Armesto Ángel, Leopoldo).

the author responsible for correspondence tasks has been Pitarch Pérez, Jose Luis.

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