a memory scheme for genetic network programming with adaptive mutation
Recently, a new approach named Genetic Network Programming (GNP) has been proposed for especially solving complex problems in dynamic environments. In this paper, we propose a memory scheme for GNP to enhance the performance of GNP and use SARSA learning based adaptive mutation mechanism to guide the GNP evolution process.
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