The DifferentialEvolutionSolver class in the scipy.optimize._differentialevolution module is a solver implementation for the Differential Evolution algorithm. This class provides methods and functionality to perform global optimization by evolving a population of candidate solutions. It utilizes mutation, crossover, and selection operations to generate better candidate solutions over multiple generations. The DifferentialEvolutionSolver class offers various features and options for customization, such as specifying the objective function, defining the search space constraints, and tuning the algorithm parameters. It is a powerful tool for solving optimization problems where the objective function is non-linear and there are no specific assumptions about its properties.
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