Computational Intelligence and Neuroscience / 2020 / Article / Fig 1

Research Article

A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm

Figure 1

Overview of the proposed method. The proposed method is performed with an archive under the framework of RCGA. preserves survivors over the past few generations and extracts statistics from them by clustering. Offspring are selected from excessively generated candidate solutions based on the statistics.

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