Constrained optimization by the ε constrained differential evolution with an archive and gradient-based mutation

By Tetsuyuki Takahama, Setsuko Sakai. IEEE Congress on Evolutionary Computation, 2010

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Constraint-handling in nature-inspired numerical optimization: Past, present and future (2011, methodology): “A further improved version of the aforementioned algorithm was proposed by Takahama and Sakai in [142], where an archive to store solutions and the ability of a vector to generate more than one trial vector [143] were added.”
A survey on evolutionary computation for complex continuous optimization (2021, background): “Later, the same authors proposed to control the ε decreasing by a power function, where the power was dynamically changed (Takahama and Sakai 2010).”