Title :
Experiences with teaching adaptive optimization to engineering graduate students
Author_Institution :
Dept. of Ind. Eng., Pittsburgh Univ., PA, USA
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;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.785478
