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On the Philosophical Foundations of an Optimization Algorithm Inspired by Human Social Behaviour Under a Dynamical Status Distribution

In: Integral Methods in Science and Engineering

Author

Listed:
  • L. P. L. de Oliveira

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

  • V. J. Schmidt

    (CWI Software)

Abstract

Among humans, social status attributed to someone is a measure of personal success in relation to others in the society he/she lives in. The individual search for having higher status is a relevant factor that pushes society towards an evolutionary rote in terms of prosperity and comfort. This paper presents a Dynamic Status Distribution Optimization (DySDO) algorithm, inspired by the social behaviour of humans to achieve higher social status under a dynamic status distribution scenario. The algorithm is an agent-based model (ABM), where each agent combines individual and social human-like strategies for getting higher status in a population, in a situation where status is attributed to each agent depending on how good the corresponding solution is in comparison with those found by other members of the population. This can raise the population chances of finding better sets of solutions which, because of the social strategy, can raise the chances for each agent achieving even better new solutions and thus forming a virtuous cycle towards the global optimum.

Suggested Citation

  • L. P. L. de Oliveira & V. J. Schmidt, 2023. "On the Philosophical Foundations of an Optimization Algorithm Inspired by Human Social Behaviour Under a Dynamical Status Distribution," Springer Books, in: Christian Constanda & Bardo E.J. Bodmann & Paul J. Harris (ed.), Integral Methods in Science and Engineering, chapter 0, pages 269-280, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-34099-4_22
    DOI: 10.1007/978-3-031-34099-4_22
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