On Applications of the Optimization Algorithm DySDO

V. J. Schmidt and L. P. L. de Oliveira
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V. J. Schmidt: CWI Software
L. P. L. de Oliveira: COFORGE-Charqueadas, Instituto Federal Sul Rio Grandense—IFSul

Chapter Chapter 23 in Integral Methods in Science and Engineering, 2023, pp 281-298 from Springer

Abstract: 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.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-34099-4_23

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DOI: 10.1007/978-3-031-34099-4_23

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