摘要: This paper introduces the Asynchronous Differential Evolution (ADE) scheme which generalizes classical (DE) approach along dimension of Synchronization Degree (SD). SD regulates synchrony evolution current population, i.e. how fast it is replaced by newly generated population. The definition ADE given and different synchronization strategies are discussed. introduction parameter allows tuning differential from a completely asynchronous behavior to super-synchronous behavior. Experiments show that low generally improves convergence speed probability with respect synchronous DE. Moreover ordering introduced in seem improve performances only already known variant DE (the Dynamical Strategy).
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