The Island Model Genetic Algorithm: On Separability, Population Size and Convergence

By L. D. Whitley, Soraya B. Rana, Robert B. Heckendorn. International Conference on Computer and Information Technology, 2015

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Evolutionary computation: a unified approach (2018, background): “possibility is to implement multi-population “island models” in which mating can only occur among individuals on the same island (Whitley et al., 1999).”
A new interval uncertain optimization method for structures using Chebyshev surrogate models (2015, methodology): “In this paper, the Multi-Island Genetic Algorithm (MIGA) [48,49] will be combined with the Sequential Quadratic Programming (SQP) [50] in a sequential manner to improve the efficiency, which is easily to implement.”
Illuminating search spaces by mapping elites (2015, background): “…encourage diversity through a variety of different techniques, including increasing mutation rates when the rate of performance improvement stagnates 1,2,17–19 , explicitly selecting for genetic diversity 2,20 or behavioral diversity 21–25 , or changing the structure of the population 26 .”
Evolutionary algorithms and their applications to engineering problems (2020, background): “We can solve this problem by introducing the mechanism which will provide a lower transfer rate of the genetic material between individuals—the whole population is divided into several subpopulations (so-called islands) and periodically migrate an individual between islands [15].”