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Using genetic algorithms to breed competitive marketing strategies

Using genetic algorithms to breed competitive marketing strategies,10.1109/ICSMC.1998.725010,G. M. Shiraz,Robert E. Marks,David F. Midgley,Lee G. Coop

Using genetic algorithms to breed competitive marketing strategies   (Citations: 7)
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Genetic algorithms (GAs) have been used for mappings which optimize a repeated procedure. An offshoot of this has been their use in what has been called co-evolution of mappings. This paper reports results from a project in which GAs have been used to: 1) to derive mappings which may explain the behavior of brand managers in an oligopolistic retail market for coffee; and 2) to attempt to improve on the historical profits of these brand managers, pitted in weekly competition with each other, vying for sales and profits with their different brands of ground, sealed coffee on the supermarket shelves. As well as advancing the practice of GAs, with separate populations competing, the work also advances our understanding of modeling players in repeated oligopolistic interactions or games
Conference: IEEE International Conference on Systems, Man, and Cybernetics - SMC , vol. 3, pp. 2367-2372 vol.3, 1998
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    • ...In particular, the day-ahead market structure with (uniform) system marginal price auction has been extensively studied as witnessed by a considerable number of technical papers [1-7]...
    • ...In [6] and [7] coevolutionary genetic algorithms are...

    F. Careriet al. Strategic bidding in a day-ahead market by coevolutionary genetic algo...

    • ...The bulk of the research has been focused on the use of neural networks [12], genetic algorithms [7], KDD (Knowledge Discovery in Databases) and data mining [2], [5] to search the patterns and information in the past data to predict the future sales and requirements [12]...
    • ...Genetic algorithms are used to find out the most competitive marketing strategy for product positioning by creating the population of all available strategies and taking out the best after evolution, based on some goodness criteria [7]...

    Zeeshan-ul-hassan Usmaniet al. Besides Tracking - Simulation of RFID Marketing and Beyond

    • ...The majority of the available research has been done using neural networks[13], genetic algorithms[15], KDD and data mining[10, 8], with the aim of searching for patterns and information in the past data that can be used to predict the future sales level and stock requirements...
    • ...Who What Out-Store In-Store Real-time Impulse Shelf [24] Shopping paths X X [14, 13, 32] Neural Networks for Future Sales X [34] Self management and Space Elasticity X X [15] Genetic Algorithm for Marketing X [10] KBS for Product Positioning X X [8] Demand and Supply Chain Management X [30] Optimization in Sales and Marketing X X X [31] KBS for Market analysis X [29, 21] Data Mining X [9] Expenditure Decisions X X [2] Shelf Allocation X X ...

    Zeeshan-ul-hassan Usmaniet al. Increasing Sales in Supermarkets via Real-Time information about Custo...

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