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Displaying results 1 to 7 of 7.

  1. Self-adapting genetic algorithms with an application to project scheduling
    Author: Hartmann, Sönke
    Published: 1999
    Publisher:  Inst. für Betriebswirtschaftslehre, Kiel

    This paper introduces a new general framework for genetic algorithms to solve a broad range of optimization problems. When designing a genetic algorithm, there may be several alternatives for a component such as crossover, mutation or decoding... more

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 504 (506)
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    This paper introduces a new general framework for genetic algorithms to solve a broad range of optimization problems. When designing a genetic algorithm, there may be several alternatives for a component such as crossover, mutation or decoding procedure, and it may be difficult to determine the best alternative (e.g., the best crossover strategy) a priori. For such cases, we suggest to include alternative components into the genetic algorithm. Indicating the component to be actually used in the genotype, this allows the genetic algorithm to adapt itself. That is, the genetic algorithm learns which of the alternative components is the most successful by means of genetic optimization. In order to demonstrate the potential of the self-adapting genetic algorithm concept, we apply it to the classical resource-constrained project scheduling problem (RCPSP). Motivated by previous computational studies as well as theoretical insight, we employ two different decoding procedures and leave the decision which of them to select to the evolution. The approach is further enhanced by a problem-specific local search extension. An in-depth computational experimental analysis shows that the self-adapting genetic algorithm approach is currently the most promising heuristic for the RCPSP.

     
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    Volltext (kostenfrei)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/147594
    Series: Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel ; no. 506
    Subjects: Projektmanagement; Scheduling-Verfahren; Mathematische Optimierung; Theorie; Genetische Algorithmen
    Scope: 22 S, graph. Darst
  2. Sales force deployment by genetic concepts
    Author: Sprecher, Arno
    Published: 1999
    Publisher:  Inst. f. Betriebswirtschaftslehre, Kiel

    Sales force management decisions belong to the major issues considered in marketing research. Among others, the alignment of sales territories has been one of the main field of work for years. Recent results have reported a strong impact of the... more

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 504 (514)
    Inter-library loan:
    No inter-library loan

     

    Sales force management decisions belong to the major issues considered in marketing research. Among others, the alignment of sales territories has been one of the main field of work for years. Recent results have reported a strong impact of the alignment of sales territories on profit, and, thus, have directed the focus from the balancing approach to profit maximization. One of the latest models proposed is the so-called sales force deployment problem. Employing a sales response function the sales force deployment problem simultaneously considers several interacting subproblems: (1) Sales force sizing, (2) sales force location, (3) sales territory alignment, and (4) sales effort allocation are the subjects of investigation. We provide a heuristic solution approach that builds on genetic concepts. The approach is evaluated on a set of benchmark instances with sizes of practical relevance. The approach produces solutions of competitive quality at far less CPU-time than required by the state-of-the-art procedure. Moreover, simple modification of the concepts allow to deal with alternated problem settings as well. First, the per-period fixed cost of setting up a sales center can be considered as a discrete function of the amount of selling time made available. Second, the balancing approach can be portrayed. Additionally, the concepts can support man-machine interactions in an online decision support system required to adjust sales territory alignments, e.g., when new products are launched, markets shift or mergers change the portfolio of the company. As such, the operations can be employed by a decision maker in a step-by-step approach to manipulate given territory alignments.

     
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    Volltext (kostenfrei)
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/147600
    Series: Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel ; no. 514
    Subjects: Betriebliche Standortwahl; Mathematische Optimierung; Heuristik; Theorie; Außendienst; Genetische Algorithmen
    Scope: 28 S
  3. Ein verteilt-paralleler genetischer Algorithmus für Containerbeladeprobleme
    Author: Gehring, Hermann
    Published: 1999
    Publisher:  Fernuniv., Hagen

    Location:
    Universitätsbibliothek Braunschweig
    Signature:
    3486-2722
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    W 691 (271)
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    Location:
    Universität Konstanz, Kommunikations-, Informations-, Medienzentrum (KIM)
    Signature:
    sta 2.80/d49-271
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    Location:
    Leuphana Universität Lüneburg, Medien- und Informationszentrum, Universitätsbibliothek
    Signature:
    99-4882
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    Universitätsbibliothek Osnabrück
    Signature:
    PIO / Hag 271
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    Location:
    Saarländische Universitäts- und Landesbibliothek
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    MU 8866
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    Source: Union catalogues
    Language: German
    Media type: Book
    Format: Print
    Series: Diskussionsbeiträge / Fachbereich Wirtschaftswissenschaft, FernUniversität in Hagen ; 271
    Subjects: Container; Lagermanagement; Mathematische Optimierung; Theorie; Genetische Algorithmen
    Scope: 14 S., graph. Darst.
    Notes:

    Zsfassung in engl. Sprache

    Literaturverz. S. 13 - 14
  4. Self-adapting genetic algorithms with an application to project scheduling
    Author: Hartmann, Sönke
    Published: 1999
    Publisher:  Inst. für Betriebswirtschaftslehre, Kiel

    Location:
    Universitätsbibliothek Kiel, Zentralbibliothek
    Signature:
    Qz 3286
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    Location:
    Universitätsbibliothek Kiel, Zentralbibliothek
    Signature:
    Z 845-506
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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    W 351 (506)
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    Series: Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel ; 506
    Subjects: Projektmanagement; Scheduling-Verfahren; Mathematische Optimierung; Theorie; Genetische Algorithmen
    Scope: 22 S., graph. Darst.
    Notes:

    Literaturverzeichnis: S. 21 - 22
  5. A development framework for nature analogic heuristics
    Author: Feldmann, Martin
    Published: 1999
    Publisher:  Univ., Dep. of Economics, Bielefeld

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    W 111 (424)
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    Series: Discussion paper / University of Bielefeld, Department of Economics ; 424
    Subjects: Mathematische Optimierung; Heuristik; Bioökonomik; Theorie; Genetische Algorithmen
    Scope: 11 Bl
  6. Sales force deployment by genetic concepts
    Author: Sprecher, Arno
    Published: 1999
    Publisher:  Inst. für Betriebswirtschaftslehre, Kiel

    Location:
    Universitätsbibliothek Kiel, Zentralbibliothek
    Signature:
    Qz 3282
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    Unlimited inter-library loan, copies and loan
    Location:
    Universitätsbibliothek Kiel, Zentralbibliothek
    Signature:
    Z 845-514
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    Unlimited inter-library loan, copies and loan

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    W 351 (514)
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    Series: Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel ; 514
    Subjects: Betriebliche Standortwahl; Mathematische Optimierung; Heuristik; Theorie; Außendienst; Genetische Algorithmen
    Scope: 28 S., graph. Darst.
    Notes:

    Literaturverzeichnis: S. 27 - 28
  7. Ein verteilt-paralleler genetischer Algorithmus für Containerbeladeprobleme
    Author: Gehring, Hermann; Bortfeldt, Andreas
    Published: 1999
    Publisher:  Fachbereich Wirtschaftswiss., Fernuniv., Hagen

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    Source: Union catalogues
    Language: German
    Media type: Book
    Format: Print
    DDC Categories: 380; 760
    Series: Diskussionsbeiträge / Fachbereich Wirtschaftswissenschaft, FernUniversität in Hagen ; Nr. 271
    Subjects: Container; Lagerplatzzuordnung; Lagerhaltung; Lagerplanung; Fehlmengenkosten; Lagerung; Pufferlager; Optimierung; Theorie
    Other subjects: (stw)Container; (stw)Lagermanagement; (stw)Mathematische Optimierung; (stw)Theorie; Genetische Algorithmen; Genetische Algorithmen; Arbeitspapier; Graue Literatur; Buch
    Scope: 14 S., graph. Darst., 30 cm