SYSEN 5240

Last Updated

  • Schedule of Classes - August 31, 2016 7:14PM EDT
  • Course Catalog - June 9, 2016 6:15PM EDT

SYSEN 5240
Search and Optimization with Metaheuristics

Course information provided by the Courses of Study 2015-2016.

This course analyzes modern heuristic methods for search and optimization problems. Single-solution based, population based, as well as hybrid techniques are examined. A survey of classical exact optimization methods is given to put metaheuristics in context, and the problem characteristics that favor a heuristic approach are discussed. This course uses implementation case studies to emphasize the solution process representation, computation, parameter estimation, and performance analysis. Students will complete a demonstration project by implementing a metaheuristic solution on a problem of their choice.

When Offered Summer.

Permission Note Enrollment limited to: senior or graduate standing.
Prerequisites/Corequisites Prerequisites: Student should have working knowledge of a high-level programming language (e.g., Matlab, Python, C, Java). Student should have completed a course in optimization or systems analysis that emphasizes formulation and modeling (e.g., ORIE 3310, SYSEN 5100, SYSEN 5110) and a course in introductory probability and statistics (e.g. ENGRD 2700).

View Enrollment Information

Syllabi: none

  •   Six Week Summer. 

  • 3 Credits Stdnt Opt

  •  1670 SYSEN 5240   LEC 001

  •  
    • TBA
    • Jun 27 - Aug 5, 2016

    • Fan, K

  • Instruction Mode: Distance Learning - WWW

Syllabi: none

  •   Six Week Summer. 

  • 3 Credits Stdnt Opt

  •  1671 SYSEN 5240   LEC 002

  •