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 surviving death. In recent years, automatic skin cancer detection systems have played a ...
(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 ...
Finally, a CNN hyper-parameter algorithm was performed utilizing GGO. The suggested model outperformed previous models with accuracy, sensitivity, and specificity of 0.988692, 0.980156, and 0.990089, respectively. A comprehensive statistical analysis test was performed to confirm the validity of our ...
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 ...
In this work, we evaluate five different optimization algorithms for ensemble pruning, including that Particle Swarm Optimization, Harmony Search, Cuckoo Search, and Firefly Algorithm. In addition, we performed an empirical comparison between Support Vector Machine and OPF using the strategy of ensemble...
Metaheuristic algorithms can be divided into two main categories: single solution-based and population-based6. The difference between the two approaches is that the population-based approach performs a complete calculation of the algorithm with a set of solutions rather than a single solution. The po...
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...
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 ...
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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...