Informal Technical Report 非正式實用工程技術報告(上)

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    Informal Technical Report()

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    A.

    B.

    C.

    D.

    E.

    F.

    G.

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    A.

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    (i)

    Our working group has become increasingly

    intrigued with how to devise appropriate strategies

    and procedures for implementing customer

    services based on available client data.

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    (ii)

    Educators expressed concern over how to

    increase the effectiveness of genetic algorithm

    (GA) courses.

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    B.

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    (i)

    As a governmental subsidized, non-profit research

    organization, Industrial Technology Research Institute (ITRI)

    has established a hotline to handle customer concerns in a

    manner more fully consistent with the concept of being

    customer-oriented. Via a unique phone line in the callcenter at ITRI, customers can query or request various

    services, as well as express their dissatisfaction with

    service quality. In response, ITRI provides an procedure

    for processing these calls. The hotline currently receives anaverage of 150-200 calls monthly, with a total of 4016 calls

    made domestically up to August 23, 2004. The call center

    generally focuses on integrating IT and communication

    technologies using a database that records all information

    on customer interactions.

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    (ii)

    An increasing number of GA courses are offered tosolve optimization problems. As well known, GAs

    seek optimum solutions in a desired search space.Many GA-related workshops and conferenceshave been held over the past three decades,owing to their diverse industrial applications. Such

    courses instill in students the essential role ofexperimental design and simulation in learningGAs.

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    C.

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    (i)

    However, customer value is seldom analyzed nor

    is the performance of the service strategies

    evaluated.

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    (ii)

    However, students spend much time in coding programsfor exercises when learning GAs, making it impossible forthem to implement many GAs in a short time. Providing

    students with the opportunity to simulate GAs is essential insuch a course. At the introductory level, teaching a newalgorithm as an exercise is also expensive in terms of stafftime, and can even be counterproductive since thestudent's written programs can introduce new problems.

    For instance, students who can implement only one GA intwo weeks will learn GAs less effectively than those whocan implement several. Moreover, students cannotimplement all the concepts introduced in a GA course,owing to time and course load constraints.

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    Further details can be found at

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