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📁 遗传算法经典书籍-英文原版 是研究遗传算法的很好的资料
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<META name=vsisbn content="0849398010">
<META name=vstitle content="Industrial Applications of Genetic Algorithms">
<META name=vsauthor content="Charles Karr; L. Michael Freeman">
<META name=vsimprint content="CRC Press">
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<META name=vspubdate content="12/01/98">
<META name=vscategory content="Web and Software Development: Artificial Intelligence: Other">




<TITLE>Industrial Applications of Genetic Algorithms:Genetic Algorithms in the Engineer's Toolbox</TITLE>

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<P><FONT SIZE="+1"><B>REFERENCES</B></FONT></P>
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<DD><B>1</B>&nbsp;&nbsp;Rechenberg, I. (1965, August). <I>Cybernetic solution path of an experimental problem</I> (Royal Aircraft Establishment Translation No. 1122, B. F. Toms, Trans.). Farnborough hants: Ministry of Aviation, Royal Aircraft Establishment.
<DD><B>2</B>&nbsp;&nbsp;Fogel, L. J., Owens, A. J., &#38; Walsh, M. J. (1965). <I>Artificial intelligence through simulated evolution</I>. New York: John Wiley &#38; Sons.
<DD><B>3</B>&nbsp;&nbsp;Holland, J. H. (1975). <I>Adaptation in natural and artificial systems</I>. Ann Arbor: The University of Michigan Press.
<DD><B>4</B>&nbsp;&nbsp;Baur, R. J. (1994). <I>Genetic algorithms and investment strategies</I>. New York: John Wiley &#38; Sons.
<DD><B>5</B>&nbsp;&nbsp;Davis, L. D. (Ed.). (1991). <I>The genetic algorithm handbook</I>. New York: Van Nostrand Reinhold.
<DD><B>6</B>&nbsp;&nbsp;Aspn&auml;s, A., Cockcroft, V., &#38; Hekonaho, J. (1996). Use of genetic algorithms to learn ligand recognition concepts: application to the GPCR superfamily. In J. T. Alander (Ed.), <I>Proceedings of the Second Nordic Workshop on Genetic Algorithms</I>. 131-150.
<DD><B>7</B>&nbsp;&nbsp;Yen, J., Liao, Lee, B., &#38; Liao, J. C. (1996). Using fuzzy logic and a hybrid genetic algorithm for metabolic modeling. <I>Proceedings of the Fifth IEEE International Conference on Fuzzy Systems</I> (pp. 220-225). Piscataway, NJ: Institute of Electrical and Electronics Engineers, Inc.
<DD><B>8</B>&nbsp;&nbsp;Koza, J. R. (1992). <I>Genetic programming: On the programming of computers by means of natural selection</I>. Cambridge: MIT Press.
<DD><B>9</B>&nbsp;&nbsp;Schwefel, H.-P. (1975). <I>Evolutionsstrategie und numerische optimierung</I>. Doctoral dissertation, Berlin: Technische Universitat.
<DD><B>10</B>&nbsp;&nbsp;Schwefel, H.-P. (1977). <I>Numerische optimierung von computer-modellen mittels der evolutionsstrategie</I>. Basel: Birkh&auml;user.
<DD><B>11</B>&nbsp;&nbsp;Box, G. E. P. (1957). Evolutionary operation: A method for increasing industrial productivity. <I>Journal of the Royal Statistical Society</I>, C6 (2), 81-101.
<DD><B>12</B>&nbsp;&nbsp;Martin, F. G., &#38; Cockerham, C. C. (1960). High speed selection studies. In O. Kempthorne (Ed.), <I>Biometrical genetics</I>. Amsterdam: Pergamon Press.
<DD><B>13</B>&nbsp;&nbsp;Bledsoe, W. W. (1961). The use of biological concepts in the analytical study of systems. Paper presented at ORSA-TIMS National Meeting, San Francisco, CA.
<DD><B>14</B>&nbsp;&nbsp;Baricelli, N. A. (1957). Symbiogenetic evolution processes realized by artificial methods. <I>Methodos</I>, <B>9</B>(35-36), 143-182.
<DD><B>15</B>&nbsp;&nbsp;Fraser, A. S. (1957a). Simulation of genetic systems by automatic digital computers: I. Introduction. <I>Australian Journal of Biological Science</I>, <B>10</B>, 484-491.
<DD><B>16</B>&nbsp;&nbsp;Fraser, A. S. (1957b). Simulation of genetic systems by automatic digital computers: II. Effects of linkage on rates of advance under selection. <I>Australian Journal of Biological Science</I>, <B>10</B>, 492-499.
<DD><B>17</B>&nbsp;&nbsp;De Jong, K. A. (1975). An analysis of the behavior of a class of genetic adaptive systems. (Doctoral dissertation, University of Michigan). <I>Dissertation Abstracts International</I>, <B>36</B>(10), 5140B. (University Microfilms No. 76-9381)
<DD><B>18</B>&nbsp;&nbsp;Hollstien, R. B. (1971). Artificial genetic adaptation in computer control systems. (Doctoral dissertation, University of Michigan). <I>Dissertation Abstracts International</I>, <B>32</B>(3), 1510B. (University Microfilms No. 71-23,773).
<DD><B>19</B>&nbsp;&nbsp;Booker, L. B. (1982). Intelligent behavior as an adaptation to the task environment. (Doctoral dissertation, Technical Report No. 243. Ann Arbor: University of Michigan, Logic of Computers Group). <I>Dissertations Abstracts International</I>, <B>43</B>(2), 469B. (University Microfilms No. 8214966)
<DD><B>20</B>&nbsp;&nbsp;Goldberg, D. E. (1983). Computer aided gas pipeline operation using genetic algorithms and rule learning (Doctoral dissertation, University of Michigan). <I>Dissertation Abstracts International</I>, <B>44</B>(10), 3174B. (University Microfilms No. 8402282)
<DD><B>21</B>&nbsp;&nbsp;Goldberg, D. E. (1989). <I>Genetic Algorithms in Search, Optimization, and Machine Learning</I>. Reading, MA: Addison-Wesley Publishing Company, Inc.
<DD><B>22</B>&nbsp;&nbsp;Davidor, Y. (1991). <I>Genetic algorithms and robotics: A heuristic strategy for optimization</I>. Singapore: World Scientific Publishing Co.
<DD><B>23</B>&nbsp;&nbsp;Rawlins, G. J. E. (Ed.). (1991). Foundations of genetic algorithms. San Mateo, CA: Morgan Kaufmann Publishers, Inc.
<DD><B>24</B>&nbsp;&nbsp;Michalewicz, Z. (1992). <I>Genetic algorithms + data structures = evolution programs</I>. Berlin: Springer-Verlag.
<DD><B>25</B>&nbsp;&nbsp;Alander, J. T. (1996). <I>An indexed bibliography of missing entries</I> (Report Series No. 94-1-MISSING). Vaasa, Finland: University of Vaasa.
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