A multi-modal bacterial foraging optimization algorithm

Taymaz Akan

In recent years, multi-modal optimization algorithms have attracted considerable attention, largely because many real-world problems have more than one solution. Multi-modal optimization algorithms are able to find multiple local/global optima (solutions), while unimodal optimization algorithms only find a single global optimum (solution) among the set of the solutions. Niche-based multi-modal optimization approaches have been widely used for solving multi-modal problems. These methods require a predefined niching parameter but estimating the proper value of the niching parameter is challengin ...Daha fazlası

Makale 2021 Journal of Ambient Intelligence and Humanized Computing12 ( 11 ) , pp. 1 - 10049 125 Görüntülenme Süresiz Ambargo

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A memetic animal migration optimizer for multimodal optimization

Taymaz Akan

Unimodal optimization algorithms can find only one global optimum solution, while multimodal ones have the ability to detect all/most existing local/global optima in the problem space. Many practical scientific and engineering optimization problems have multiple optima to be located. There are a considerable number of optimization approaches in the literature to address the unimodal problems. Although multimodal optimization methods have not been studied as much as the unimodal ones, they have attracted an enormous amount of attention recently. However, most of them suffer from a common nichin ...Daha fazlası

Makale 2021 Evolving Systems13 ( 1 ) , pp. 1 - 144 61 Görüntülenme Süresiz Ambargo