adaptive parameter selection for strategy adaptation in differential evolution
In order to automatically select the most suitable strategy for a specific problem without any prior knowledge, in this paper, we present an adaptive parameter selection technique for strategy adaptation in differential evolution (DE). First, a simple strategy adaptation mechanism is employed to implement the adaptive strategy selection in DE. Then, the probability- matching-based adaptive parameter selection method is proposed to select the best parameter of the strategy adaptation mechanism; in this way, it can accelerate the strategy adaptation mechanism to choose the most suitable strategy while solving a problem. Experimental results indicate that our method obtains better results in terms of the quality of the final solutions and the convergence speed, compared with the classical DE algorithms with single strategy.
adaptive parameter selection strategy adaptation differential evolution global optimization