Augmented Evolutionary Computation Using Genetic Programming
Tadashi Ae
Abstract
Tadashi Ae
Abstract
Evolutionary computation is an anticipatory computation for generation of creative sets including the set of sequences. The Interactive Evolutionary Computation (IEC, in short) is known as one of evolutionary computations, but it is not necessarily efficient because it may make the user tired. Therefore, we propose an improved method, that is, Augmented Interactive Evolutionary Computation (AIEC, in short), where the hypothesis/verification is applied for the generative agent instead of the objective element. We will state this type of evolutionary computation which is realized by a Genetic Programming.
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Evolutionary computation is an anticipatory computation for generation of creative sets including the set of sequences. The Interactive Evolutionary Computation (IEC, in short) is known as one of evolutionary computations, but it is not necessarily efficient because it may make the user tired. Therefore, we propose an improved method, that is, Augmented Interactive Evolutionary Computation (AIEC, in short), where the hypothesis/verification is applied for the generative agent instead of the objective element. We will state this type of evolutionary computation which is realized by a Genetic Programming.
Key concepts: Interactive evolutionary computation, Human-based evolutionary computation, Evolutionary computation, Evolutionary programming, Genetic programming, Computation, Genetic representation, Computer science