… control’, ‘controlling parameters of evolutionary algorithms’, ‘methods for controlling EA
parameters’ and ‘parameter … include ‘machine learning in evolutionary algorithms’, ‘adjusting …

… Evolutionary Computation [8]. This article focuses on self-adaptive parameter control methods
in evolutionary algorithms… growing interest in the evolutionary computation literature in the …

… Evolution algorithm with self-adaptive trial vector generation strategy and control parameters
(SspDE… In the SspDE algorithm, each target individual has an associated strategy list (SL), a …

… entire evolution process is also a key issue. A self-adaptive DE algorithm with zoning evolution
of control parameters … In the proposed algorithm, the mutation strategies are automatically …

… is investigated both in experiments and simulations with an emphasis on the influence of
steering parameters of the algorithm, number of configurations in search space, and noise. The …

… guide the evolution of control parameters during the entire evolutionary process. SAKPDE
is compared with eight improved DEs and four non-DE evolutionary algorithms using three …

… diversity adaptation used in Memetic Algorithms (MAs). Some … The fitness-adaptive DE
algorithm has been compared with … family of algorithms and introduces its control parameters. The …

… control parameters. In this study, the DMPSADE algorithm is proposed to implement the
self-adaptive control parameters and mutation strategies, and to ensure the independent …

… The notation forms the basis for the description of particular evolutionary algorithms and
is not repeated in the following sections. Instead, to allow quick access, the notation is …

… parameter tuning as a special case of algorithm design. The principal challenge for evolutionary
algorithm … values, largely influence the performance of the algorithm. An EA with good …