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On the impact of information-sharing model between subpopulations in the Island-based evolutionary algorithms: search manager framework as a case study

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Abstract

The island model is an effective alternative to implement a standalone, hybrid, or parallel evolutionary algorithm that has been focused in the last decade. To make this model more efficient, several important issues exist that should be considered. One of them is the information-sharing strategy between subpopulations that its effect on the performance of an island-based evolutionary algorithm has not been considered in the literature. Most of the studies utilize just the migration model without any assumption. In this study, we investigate three different information-sharing models on one of the recently proposed island-based hybridization frameworks, called Search Manager, and practically show why the migration model has been adopted in most of the island-based evolutionary algorithms. The obtained results on CEC 2005 benchmark suite show that although the migration model is a good choice, it is hard to claim that it is the most suitable one for an island-based algorithm. In fact, there is no global information-sharing model and which one improves the performance of an island-based algorithm depends on the search strategy and the optimization problem.

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Notes

  1. All the implemented source code is available on the GitHub: https://github.com/yousefabdi/MSM.

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This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

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  1. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Yousef Abdi & Mohammad Asadpour

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  1. Yousef Abdi
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  2. Mohammad Asadpour
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Contributions

YA contributed to methodology, conceptualization, writing—original draft, designed the experiment, and provided software. MA was supervisor and involved in investigation.

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Correspondence to Mohammad Asadpour.

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Abdi, Y., Asadpour, M. On the impact of information-sharing model between subpopulations in the Island-based evolutionary algorithms: search manager framework as a case study. J Supercomput 79, 14245–14286 (2023). https://doi.org/10.1007/s11227-023-05218-y

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