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Experiences With Teaching Adaptive Optimization to Engineering Graduate Students  (Make Corrections)  
Alice E. Smith
Proceedings of the Congress on Evolutionary Computation



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Abstract: This paper discusses the first-hand experiences of the author in developing and teaching a graduate level engineering course in adaptive optimization methods inspired by nature. The paper discusses course content, textbooks and supplementary written material, software and computer projects, and grading and evaluation. This course has encouraged many students to pursue research in evolutionary computation, tabu search or simulated annealing, however it is continually being modified to reflect... (Update)

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BibTeX entry:   (Update)

@inproceedings{ smith99experiences,
    author = "Alice E. Smith",
    title = "Experiences with Teaching Adaptive Optimization to Engineering Graduate Students",
    booktitle = "Proceedings of the Congress on Evolutionary Computation",
    volume = "3",
    month = "6-9",
    publisher = "IEEE Press",
    address = "Mayflower Hotel, Washington D.C., USA",
    editor = "Peter J. Angeline and Zbyszek Michalewicz and Marc Schoenauer and Xin Yao and Ali Zalzala",
    isbn = "0-7803-5537-7 (Microfiche)",
    pages = "1696--1701",
    year = "1999",
    url = "citeseer.ist.psu.edu/243392.html" }
Citations (may not include all citations):
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227   Evolution and Optimum Seeking (context) - Hans-Paul - 1995
178   Modern Heuristic Techniques for Combinatorial Problems (context) - Colin, editor - 1993
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44   An experimental comparison of techniques for the assignment .. (context) - Nugent, Vollmann et al. - 1968
33   Evolutionary Computation: The Fossil Record (context) - David - 1998
28   Genetic Algorithms and Engineering Design (context) - Mitsuo, Cheng - 1997
22   Evolutionary Algorithms in Theory and Practice (context) - Thomas - 1996
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11   The particle swarm: Social adaptation of knowledge (context) - James - 1997
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