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On Applications of the Optimization Algorithm DySDO

In: Integral Methods in Science and Engineering

Author

Listed:
  • V. J. Schmidt

    (CWI Software)

  • L. P. L. de Oliveira

    (COFORGE-Charqueadas, Instituto Federal Sul Rio Grandense—IFSul)

Abstract

This contribution presents the application of a Dynamic Status Distribution Optimization (DySDO) algorithm to benchmark problems. The algorithm is an agent-based model (ABM), where each agent combines individual and collective strategies for improving the status in a population. This was demonstrated by the application of DySDO to reference problems in the literature in addition to some real world problems. The efficacy and efficiency achieved in those experiments with the present basic version of the new approach indicate a promising perspective for future developments, as happened with some classical metaheuristics such as genetic algorithm (GA), particle swarm optimization (PSO) algorithm and many others.

Suggested Citation

  • V. J. Schmidt & L. P. L. de Oliveira, 2023. "On Applications of the Optimization Algorithm DySDO," Springer Books, in: Christian Constanda & Bardo E.J. Bodmann & Paul J. Harris (ed.), Integral Methods in Science and Engineering, chapter 0, pages 281-298, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-34099-4_23
    DOI: 10.1007/978-3-031-34099-4_23
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