Experiences with teaching adaptive optimization to engineering graduate students

Author

Smith, Alice E.

Author_Institution

Dept. of Ind. Eng., Pittsburgh Univ., PA, USA

Volume

3

fYear

1999

fDate

1999

Abstract

The 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 the many changes occurring in the field

Keywords

adaptive systems; computer science education; educational courses; engineering computing; engineering education; evolutionary computation; search problems; simulated annealing; teaching; adaptive optimization; computer projects; course content; engineering graduate students; evolutionary computation; grading; graduate level engineering course; nature; simulated annealing; supplementary written material; tabu search; teaching; textbooks; Algorithm design and analysis; Books; Computational intelligence; Education; Evolutionary computation; Genetic algorithms; Industrial engineering; Neural networks; Optimization methods; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on

Conference_Location

Washington, DC

Print_ISBN

0-7803-5536-9

Type

conf

DOI

10.1109/CEC.1999.785478

Filename

785478