Microartefacts' weight estimation by Genetic Algorithm minimization |
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| Institution: | 1. Department of Archaeology and Prehistory, University of Sheffield, Northgate House, Sheffield, UK;2. Department of Education, University of Ioannina, 45110 – Dourouti, Ioannina, Greece;3. Center for Research and Applications of Nonlinear Systems, University of Patras, 26500 – Rio, Patras, Greece;1. Osservatorio di Chimica, Fisica e Geologia Ambientali, Dipartimento di Scienza dei Materiali, Università di Lecce, via Arnesano, 73100 Lecce, Italy;2. Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, Piazza Roma 2, 95123 Catania, Italy;3. Consultant Geologist, via Acque Casse 27/c, 95126 Catania, Italy;1. Department of Information Management, Yuan Ze University, 135 Yuan Tung Road, Chung-Li 32026, Taiwan, ROC;2. Department of Industrial Engineering and Management, Yuan Ze University, 135 Yuan Tung Road, Chung-Li 32026, Taiwan, ROC;3. Department of Computer Science and Engineering, Yuan Ze University, 135 Yuan Tang Road, Chung-Li 32026, Taiwan, ROC;1. Environmental Change Research Centre, Department of Geography, UCL, Gower Street, London. WC1E 6BT, UK;2. Climate Dynamics and Sediments Section, GeoForschungsZentrum Potsdam, Telegraphenberg, D-14473 Potsdam, Germany |
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| Abstract: | The information potential of microartefacts can assist in archaeological interpretation. In this paper, a method for estimating the weight of microartefacts is presented. This method is based on Genetic Algorithms, a stochastic minimisation method that comes from Computational Intelligence techniques. It was observed that Genetic Algorithms offer a reliable estimation of microartefact weights. Experimental results are presented on archaeological data from the Neolithic site of Paliambela, in Northern Greece. |
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