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This paper proposes a new evolutionary learning method without any algorithmic-specific parameters for solving optimization problems. The proposed method gets inspired from the information set concept that seeks to represent the uncertainty in an effort using an entropy function. This method termed as Human Effort For Achieving Goals (HEFAG) comprises two phases: Emulation and boosting phases. In...
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