Parallelizing evolutionary computation: A mobile agent-based approach |
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| Affiliation: | 1. Laboratory of Applied Biochemistry, Faculty of Sciences of Nature and Life, Ferhat Abbes University, Setif, 1, Algeria;2. Genetics and Cytology Department, National Research Center, Dokki, Cairo, Egypt;3. Toxicology Dept., Research Institute of Medical Entomology, Giza, Egypt;4. Food Toxicology & Contaminants Department, National Research Center, Dokki, Cairo, Egypt;5. Cell Biology Department, National Research Center, Dokki, Cairo, Egypt;6. Pathology Department, National Research Center, Dokki, Cairo, Egypt;1. Faculty of Social Sciences, University of Lapland, Postbox 122, 96101 Rovaniemi, Finland;2. Political Science Unit, Division of Social Sciences, Luleå University of Technology, Universitetsområdet, Porsön, 971 87 Luleå, Sweden;3. Economics unit, Luleå university of technology, Luleå University of Technology, SE-971 87 Luleå, Sweden;5. Fersman st.24a, Murmansk region, Apatity, 184200, Russia;6. Northern Research Institute – NORUT, P.O. box 1463, N-9506 Alta, Norway |
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| Abstract: | Parallel computation models have been widely used to enhance the performance of traditional evolutionary algorithms, and they have been implemented on parallel computers to speed up the computation. Instead of using expensive parallel computing facilities, we propose to implement parallel evolutionary computation models on easily available networked PCs, and present a multi-agent framework to support parallelism. With the unique characteristics of agent autonomy and mobility, mobile agents can carry the EC-code and migrate from machine to machine to complete the computation dynamically. To evaluate the proposed approach we have developed a prototype system on a middleware platform JADE to solve a time-consuming task. Different kinds of experiments have been conducted to assess the developed system and the preliminary results show the promise and efficiency of our mobile agent-based approach. |
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