2003•Unpublished venueRequires access

Analysis of direct manipulation in interactive evolutionary computation on fitness landscape

Jong-Ha Lee, Sung-Bae Cho

Open publisher page 10 citations

Abstract

Interactive evolutionary computation (IEC), which takes a user's evaluation as a fitness function, performs poorly for local search due to the limitation of population size and generation length. To solve this, the direct manipulation (DM) method, well known in HCI, of evolution for IEC has been proposed. It allows the user to manipulate individuals directly, instead of using evolutionary operators as an interface to each individual. In this paper, we analyze the usefulness of DM with a fitness landscape and N-K model. We have applied the DM concept to a fashion design system based on IEC, and analyzed the results with the concept of fitness landscape and Boolean hypercube.

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What this paper is about

Interactive evolutionary computation (IEC), which takes a user's evaluation as a fitness function, performs poorly for local search due to the limitation of population size and generation length. To solve this, the direct manipulation (DM) method, well known in HCI, of evolution for IEC has been proposed. It allows the user to manipulate individuals directly, instead of using evolutionary operators as an interface to each individual. In this paper, we analyze the usefulness of DM with a fitness landscape and N-K model. We have applied the DM concept to a fashion design system based on IEC, and analyzed the results with the concept of fitness landscape and Boolean hypercube.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Interactive evolutionary computation (IEC), which takes a user's evaluation as a fitness function, performs poorly for local search due to the limitation of population size and generation length. To solve this, the direct manipulation (DM) method, well known in HCI, of evolution for IEC has been proposed. It allows the user to manipulate individuals directly, instead of using evolutionary operators as an interface to each individual. In this paper, we analyze the usefulness of DM with a fitness landscape and N-K model. We have applied the DM concept to a fashion design system based on IEC, and analyzed the results with the concept of fitness landscape and Boolean hypercube.

Key concepts: Fitness landscape, Fitness function, Interactive evolutionary computation, Fitness approximation, Evolutionary computation, Computer science, Hypercube, Population

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