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- W3100156008 abstract "While a large number of adaptive Differential Evolution (DE) algorithms have been proposed, their Parameter Adaptation Methods (PAMs) are not well understood. We propose a Target function-based PAM simulation (TPAM) framework for evaluating the tracking performance of PAMs. The proposed TPAM simulation framework measures the ability of PAMs to track predefined target parameters, thus enabling quantitative analysis of the adaptive behavior of PAMs. We evaluate the tracking performance of PAMs of widely used five adaptive DEs (jDE, EPSDE, JADE, MDE, and SHADE) on the proposed TPAM, and show that TPAM can provide important insights on PAMs, e.g., why the PAM of SHADE performs better than that of JADE, and under what conditions the PAM of EPSDE fails at parameter adaptation." @default.
- W3100156008 created "2020-11-23" @default.
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- W3100156008 date "2017-07-01" @default.
- W3100156008 modified "2023-09-30" @default.
- W3100156008 title "TPAM" @default.
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- W3100156008 doi "https://doi.org/10.1145/3071178.3071226" @default.
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