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Laboratory Prototype of Hybrid Systems for Waste Weighing as a New Benchmark for Optimizing Metaheuristics

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Book cover Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives (IWIFSGN 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1081))

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Abstract

The authors present a dynamic system of waste weighing, management and monitoring using an innovative hybrid measurement method. This is a key part of the planned Waste Management System (WMS) operating on the computing cloud. A simulation project of the Laboratory prototype of Hybrid systems for waste weighing is shown in this paper. It has been introduced as a new benchmark for optimizing metaheuristics. The results of the Laboratory prototype simulation project analysis stored in the form of a mathematical function were used to define the test task of optimization methods. The Swarm Intelligence group metaheuristics was used in the study [1]. The results have proved to be promising, as the new benchmark may already be used. Its development will be parallel to building a production prototype of Hybrid systems for waste weighing.

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Acknowledgement

Project co-financed by the Polish National Center for Research and Development (NCBiR) under the “Smart Development” Operational Program (POIR), the agreement number POIR.01.01.01-00-0078/17-00.

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Authors and Affiliations

  1. Institute of Technology, Casimir the Great University in Bydgoszcz, ul. Chodkiewicza 30, 85-064, Bydgoszcz, Poland

    Jacek M. Czerniak, Dawid Ewald & Łukasz Apiecionek

  2. Teldat Sp. z o.o sp.k., ul. Cicha 19-27, 85-650, Bydgoszcz, Poland

    Jacek M. Czerniak, Dawid Ewald, Łukasz Apiecionek, Henryk Kruszyński & Robert Palka

Authors
  1. Jacek M. Czerniak
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  2. Dawid Ewald
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  3. Łukasz Apiecionek
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  4. Henryk Kruszyński
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  5. Robert Palka
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Corresponding author

Correspondence to Jacek M. Czerniak .

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Editors and Affiliations

  1. Department of Bioinformatics and Mathematical Modelling, Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering, Sofia, Bulgaria

    Krassimir T. Atanassov

  2. Department of Bioinformatics and Mathematical Modelling, Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering, Sofia, Bulgaria

    Vassia Atanassova

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Andrzej Kaluszko

  5. WIT- Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

  6. Polish Acadamy of Sciences, Systems Research Institute, Warsaw, Poland

    Jan W. Owsinski

  7. Intelligent Systems Laboratory, Faculty of Technical Sciences, Bourgas, Bulgaria

    Sotir Sotirov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University, Burgas, Bulgaria

    Evdokia Sotirova

  9. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Eulalia Szmidt

  10. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland

    Slawomir Zadrozny

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Czerniak, J.M., Ewald, D., Apiecionek, Ł., Kruszyński, H., Palka, R. (2021). Laboratory Prototype of Hybrid Systems for Waste Weighing as a New Benchmark for Optimizing Metaheuristics. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. IWIFSGN 2018. Advances in Intelligent Systems and Computing, vol 1081. Springer, Cham. https://doi.org/10.1007/978-3-030-47024-1_32

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