Skin lesion classificationGenetic algorithmPSODEDeep learningCNNISICThe most dangerous type of skin cancer in the world is Melanoma. Early diagnosis of this cancer in primary stages can increase the chance of s
(MSACS) based on the cuckoo search algorithm (CS). First, five different search strategies were proposed to calculate the use probability and control parameters by using adaptive strategies to ensure that the algorithm can autonomously adjust according to the change in the functions and iteration ...
multimodal, and composite issues, expressed in mathematical forms that are used to validate the algorithm by running the algorithm on it through the objective function for measuring both quantitative and qualitative performance of the algorithm, as well as how the algorithm performs compared to other ...
Moreover, they can also be used as a classification algorithm. But this paper proposed a transformation technique based on the metaheuristic algorithms for the application of changing the nature of features. That is, by using the plots as shown in Fig. 4, the features extracted from the ...
The biologically inspired metaheuristic algorithm obtains the optimal solution by simulating the living habits or behavior characteristics of creatures in nature. It has been widely used in many fields. A new bio-inspired algorithm, Aphids Optimization A
In this section, we introduce a simple and effective strategy to enhance a nature-inspired swarm-based algorithm so that the enhanced algorithm is guaranteed to converge almost surely to a global optimum. We assume the cost function can be high-dimensional, non-differentiable, non-separable or no...
(RF) classification algorithm. [49] has used C4.5 and RF algorithms combined with the feature selection method. They have achieved the highest accuracy (almost 72%) using Age, HOMA, Leptin, and Adiponectin selected by the Correlation-based FSA. In [50], the authors have evaluated 11 ...
In order to optimize classification performance, feature selection and determination of classifier parameters are carried out simultaneously. Referring to complexity of search space, cuckoo search as a powerful metaheuristic optimization algorithm is applied. Experiments show that the proposed method can ...
Other metaheuristic algorithms, such as cuckoo search (CS) [62,161], bat algorithm (BA) [162], and grey wolf optimizer (GWO) [90], also have been commonly utilized to enhance the performance of prediction. The combination of metaheuristic algorithms can further improve the parameters based on...
Flower Pollination Algorithm28, and Black Widow Optimization Algorithm29are other examples of this sort. Furthermore, physics-based metaheuristic algorithms are the third classification inspired by physics laws, such as heat transformation, gravitational force, particle motions, and wave propagation. Undoubt...