However, optimizing GANs involves tuning hyper-parameters such as learning rate, batch size, and optimization algorithms, which can be challenging due to the non-convex nature of GAN loss functions. To address this, we propose a five-dimensional Gray wolf optimizer (5DGWO) to optimize GAN hyper...
combinatorial testing; whale optimization algorithm; harmony search algorithm; grey wolf optimization; evolutionary algorithms; metaheuristics algorithms; test suite optimization; software testing1. Introduction In order to avoid customer complaints, software testing ensures that products meet the user’s needs...